NDLI: Light mobile robot’s weight design and research

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

The 2011 International Joint Conference on Neural Networks

The 2010 International Joint Conference on Neural Networks (IJCNN)

2009 International Joint Conference on Neural Networks

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design

Fully complex-valued radial basis function networks for orthogonal least squares regression

Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems

A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states

A novel approach for fault diagnosis of steam turbine based on neural network and genetic algorithm

Generating weights and generating vectors to map complex functions with artificial neural networks

Applying knowledge engineering methods to didactic knowledge first steps towards an ultimate goal

Learning of soccer player agents using a policy gradient method: Coordination between kicker and receiver during free kicks

Identification of nonlinear state space models using an MLP network trained by the EM algorithm

Selection of kernel parameters for KNN

A comparison of architectural varieties in Radial Basis Function Neural Networks

An adaptive text detection approach in images and video frames

Some discrete Fourier kind transforms based on FLOS

A one-layer recurrent neural network for convex programming

Texture classification of the ultrasonic images of rotator cuff diseases based on radial basis function network

Modelling the development of fluid dispensing for electronic packaging: Hybrid Particle Swarm Optimization based-wavelet neural network approach

A simplified recurrent neural network for solving nonlinear variational inequalities

A solution of mixed integer linear programming for obstacle-avoided pursuit problem

Design of dynamic Petri recurrent-fuzzy-neural-network scheme for mobile robot tracking control

The development of a hybrid, distributed architecture for multiagent systems and its application in robot soccer

Quaternion singular value decomposition approach to color image de-noising

Unconstrained transductive Support Vector Machines and its application

Zhang neural network without using time-derivative information for constant and time-varying matrix inversion

Artificial neural networks for stochastic control of nonliner state space systems

Adaptation of barn owl localization system with spike timing dependent plasticity

Blind equalization Using ν- support vector regressor for constant modulus signals

Spam filtering with abductive networks

A modified Vector Quantization based image compression technique using wavelet transform

A new approach for context-independent handwritten offline diagram recognition using support vector machines

Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data

Single-class SVM classifier for localization of epileptic focus on the basis of EEG

A random subspace method for co-training

Computational intelligence and decision trees for missing data estimation

A new approach to robust k-Means clustering based on fuzzy principal component analysis

A local Latent Semantic Analysis-based kernel for document similarities

Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel

Combination approach of SMOTE and biased-SVM for imbalanced datasets

Statistical process monitoring using independent component analysis based disturbance separation scheme

Derive local invariance transformations from SVM

Learning encoding and decoding filters for data representation with a spiking neuron

Predictive unsupervised organisation in marine engine fault detection

Tree parity machine-based One-Time Password authentication schemes

Fault diagnosis of FOG SINS based on neural network

Improving the robustness of ISOMAP by de-noising

Intelligent fuzzy wavelet system for electronic parts appearance quality prediction

Asymptotic behavior of stochastic Cohen-Grossberg neural networks with variable delays

MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving

Emitter number estimation from pulse envelope using information theoretic criterion

Feature extraction using surrounding-line integral bispectrum for radar emitter signal

Ensemble classification based on correlation analysis for face recognition

Analysis of a plurality voting-based combination of classifiers

Robotic position/orientation control using neural networks

A novel support vector machine with its features weighted by mutual information

Salient objects detection in time sequenced images

A P-SVM and chaos based model for high-technology manufacturing labor productivity

Design and simulation of adaptive wavelet neuro control with UUB stability

HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks

Active Meta-Learning with Uncertainty Sampling and Outlier Detection

Vehicle license plate location based on Harris corner detection

Unsupervised learning of dependencies between local luminance and contrast in natural images

Bots trained to play like a human are more fun

Position control of a mobile inverted pendulum system using radial basis function network

Implementation of the RBF neural chip with the on-line learning back-propagation algorithm

Modeling transcription termination of selected gene groups using support vector machine

Graphical symbol recognition in architectural plans with an improved Ant-Tree based clustering algorithm

TNFIS: Tree-based neural fuzzy inference system

Designing Automatic Train Regulation for MRT system by adaptive critic method

Analysis of nonseparable property of multi-valued multi-threshold neuron

A new Support Vector classification algorithm with parametric-margin model

Automatic target recognition of aircrafts using neural networks

Wafer-scale integration of analog neural networks

Immunity-based intrusion detection for wireless sensor networks

Sub-domain intelligent modeling based on neural networks

Dataset complexity can help to generate accurate ensembles of k-nearest neighbors

Statistically non-sparse decomposition of two underdetermined audio mixtures

A soft image edge detection approach based on the time matrix of a PCNN

Characterization of climatic variations in Spain at the regional scale: A computational intelligence approach

A three dimensional localization algorithm using a mobile anchor node under wireless channel

On asymptotic behavior of state trajectories of piecewise-linear recurrent neural networks generating periodic sequence of binary vectors

A contention-based MAC for wireless sensor networks including a mobile node

Incremental learning for feature extraction filter mask used in similar pattern classification

Ensemble based 3D human motion classification

Incorporating fuzzy prior knowledge into Relevance Vector Machine regression

A variational formulation for GTM through time

The effect of noise and sample size on an unsupervised feature selection method for manifold learning

Prediction of convergence dynamics of design performance using differential recurrent neural networks

Constrained Maximum Variance Mapping

A new method of weak signal detection based on improved matching pursuit algorithm

Detection and recognition on parameters of object’s internal structure

Development of a memetic algorithm for Dynamic Multi-Objective Optimization and its applications for online neural network modeling of UAVs

A hybrid supervised ANN for classification and data visualization

SVR-based approach to improve active sonar detection in reverberation

Fuzzy cluster ensemble and its application on 3D head model classification

Short-term traffic flow forecasting based on clustering and feature selection

Pattern mining based on local distribution

Knowledge based Cluster Ensemble

Parallel Multidimensional Step search algorithm for epsilon-insensitive support vector regression in time series prediction

An integration method of multi-modal biometrics using supervised pareto learning self organizing maps

Fault Diagnosis of time-frequency images based on non-negative factorization and neural network ensemble

Gene Ontology term prediction based upon amino acid occurrence

Financial time series prediction using a support vector regression network

Graph theoretic based algorithm for mining frequent patterns

Radar emitter signal recognition based on atomic decomposition

Calibration of traffic dynamics models with data mining

Ensemble of neural predictors for forecasting the atmospheric pollution

Contact personalization using a score understanding method

Ensemble learning with generalization performance measurement and negative correlation

Investigating the influence of feature correlations on automatic relevance determination

Learning to select relevant perspective in a dynamic environment

Adaptive curiosity for emotions detection in speech

Image clustering with spiking neuron network

Computational intelligence meets the NetFlix prize

Kernel methods for fMRI pattern prediction

Modeling performance enhancement with constrained linear filters

A biologically inspired visual pedestrian detection system

Backpropagation with two-phase magnified gradient function

Tracking a moving object with mobile robot based on vision

Bio-inspired stochastic chance-constrained multi-robot task allocation using WSN

LATTICESVM — A new method for multi-class Support Vector machines

Input-output model of time series based on ESN

Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry

Gender classification of human faces using inference through contradictions

Recurrent neural network optimization for model predictive control

Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis

Use of Self-Organizing Maps for texture feature selection in content-based image retrieval

Applying ICA on neural network to simplify BOF endpiont predicting model

A new image recognition algorithm based on skeleton

The learning algorithm based on multiresolution analysis for neural networks

Particle swarm optimization of feedforward neural networks for the detection of drowsy driving

Two-tier self-organizing visual model for road sign recognition

A memory-based reinforcement learning algorithm for partially observable Markovian decision processes

Knowledge processing system using Kohonen feature map associative memory with refractoriness based on area representation

Similarity-based image retrieval from plural key images by self-organizing map with refractoriness

Kohonen feature map associative memory with area representation for sequential analog patterns

Melody retrieval by self-organizing map with refractoriness

Investigation of diabetic microvascular complications using data mining techniques

A novel Chaotic Stream DS-UWB system

Shape of error surfaces in SpikeProp

Visual feature extraction using variable map-dimension Hypercolumn Model

Image quality assessment using edge and contrast similarity

Discovery of association rules in Metabolic Syndrome related diseases

A no reference image quality assessment method for JPEG2000

Exponential stability of periodic solution of impulsive fuzzy BAM neural networks with time-varying delays

Entropy partition method and its application for discrete variables and continuous variables

Characterizing prior knowledge-attention relationship by a computational model of cognitive reading

Global exponential stability of recurrent neural networks with pure time-varying delays

Neural classification of objects based on Gabor signature

A new adaptive maneuvering target tracking algorithm using artificial neural Networks

Intelligent algorithm for forecasting of optimum neurons quantity in perceptron with one hidden layer

A new accurate approximation for the Gaussian process classification problem

3D human face reconstruction with three images based on constrained ICA

Inverse system identification of nonlinear systems using least square support vector machine based on FCM clustering

Spatiotemporal feature extraction based on invariance representation

A new multidimensional penalized likelihood regression method

Robust estimation of human posture using incremental learnable Self-Organizing Map

Feature selection based on kernel pattern similarity

Mutual information for measuring independence of STLmax time series in the epileptic brain

A neural architecture for grounded cognition: Representation, structure, dynamics and learning

Realizing biological spiking network models in a configurable wafer-scale hardware system

FIR-based classifiers for animal behavior classification

Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications

Product design model for impact toughness estimation in steel plate manufacturing

On the sample mean of graphs

Discrete-time recurrent high order neural observer for activated sludge wastewater treatment

Stable reciprocal image associations in cognitive systems

Real-time discrete recurrent high order neural observer for induction motors

Evolving a neural network using dyadic connections

On the learning of nonlinear visual features from natural images by optimizing response energies

Semantic representation in text classification using topic signature mapping

Single-trial bistable perception classification based on sparse nonnegative tensor decomposition

A biologically-inspired computational model for transformation invariant target recognition

Using stochastic logic for efficient pattern recognition analysis

The wellposedness analysis of the kernel adaline

Signature based intrusion detection using latent semantic analysis

Classified image interpolation using neural networks

Neighbor annealing for neural network training

Self-splitting modular neural network - domain partitioning at boundaries of trained regions

Event-related optimization for a class of resource location with admission control

Semi-supervised kernel-based fuzzy C-means with pairwise constraints

Develop a novel technique for a virtual reality environment

Linear block code decoder using neural network

Synchronization-based data gathering scheme using chaotic pulse-coupled neural networks in wireless sensor networks

Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization

Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection

A novel heuristic Q-learning algorithm for solving stochastic games

An integrated approach to segment mobile commerce market on the train

Collaborative statistical learning with rough feature reduction for visual target classification

Missing nominal data imputation using association rule based on weighted voting method

Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector

Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches

A local density-based simultaneous two-level algorithm for topographic clustering

Semi-supervised nearest neighbor editing

Research on a novel one-way trap-door map based on improved hyperbolic function

Enhanced Extreme Learning Machine with stacked generalization

A novel strategy for the structure-based drug design of heat shock protein 90 inhibitors

Rule induction based on an incremental rough set

Adaptive filtering for desired error distribution under minimum information divergence criterion

An analysis of data distribution methods in classifier combination systems

Real-time remote manipulation and monitoring architecture of an industry robot

Neural networks for cognitive sensor networks

Pharmacoinformatics approach to the discovery of novel selective COX-2 inhibitors by in silico virtual screening

Boosting with cross-validation based feature selection for pedestrian detection

Simulated annealing for hierarchical pattern detection and seismic applications

A new contextual based feature selection

A decision boundary hyperplane for the vector space of conics using a polinomial kernel in m-Euclidean space.

A neural network approach to ordinal regression

The Meaningful Fractal Fuzzy Dimension applied to the design of self organizing maps

Accelerating cogent confabulation: An exploration in the architecture design space

Multi-label imbalanced data enrichment process in neural net classifier training

Fusion of biometric systems using one-class classification

Blind source separation and bearing estimation using Fourier- and wavelet-based spectrally condensed data and artificial neural networks for indoor environments

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic

Nonlinear Hebbian Learning for noise-independent vehicle sound recognition

Implementation of a neural network based visual motor control algorithm for A 7 DOF redundant manipulator

System identification using the neural-extended Kalman filter for state-estimation and controller modification

Community analysis of influential nodes for information diffusion on a social network

On-line off-line Ranking Support Vector Machine and analysis

Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion

On-line bagging Negative Correlation Learning

Pseudometrics for time series classification by nearest neighbor

Multi-class AUC metrics and weighted alternatives

Air robot path planning based on Intelligent Water Drops optimization

Bayesian tensor analysis

Comparing machine learning methods in estimation of model uncertainty

∈-Adaptive Dynamic Programming for discrete-time systems

A new line symmetry distance based pattern classifier

An opinion search system for consumer products

The detection of multiple moving objects using fast level set method

Fast and robust stochastic segment model for Mandarin digital string recognition

Calibrated Rank-SVM for multi-label image categorization

Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system

Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver

Dialog Act classification using acoustic and discourse information of MapTask Data

Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles

The rule-extraction through the preimage analysis

Modeling network attacks for scenario construction

Response integration in Ensemble Neural Networks using interval type-2 Fuzzy logic

Prediction of urban passenger transport based-on wavelet SVM with quantum-inspired evolutionary algorithm

Learning associations of conjuncted fuzzy sets for data prediction

Using neural network emulations of model physics in numerical model ensembles

A comparison of genetic and particle swarm optimization for contact formation in high-performance silicon solar cells

A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization

Robust experimental design and feature selection in signal transduction pathway modeling

An estimate of impulse bounds in delayed BAM neural networks

Nonparametric approach for estimating dynamics of stock index

Building resilient classifiers for LSB matching steganography

On the benefits for model regularization of a variational formulation of GTM

An improved PCA algorithm based on WIF

Hybrid knowledge representation applied to the learning of the shared attention

Jet engine gas path fault diagnosis using dynamic fusion of multiple classifiers

CUR+NMF for learning spectral features from large data matrix

Classification through hierarchical clustering and dimensionality reduction

A human face recognition approach based on spatially weighted pseudo-Zernike moments

An adaptive ground penetrating radar imaging system based on complex-valued self-organizing map - recent progress and experiments in Cambodia -

A programmable facilitating synapse device

A perceptual interface for vision substitution in a color matching experiment

Properties of an invariant set of weights of perceptrons

An integrated approach to robust speaker identification and speech recognition

Enhanced speech in noisy multiple speaker environment

Speech separation algorithms for multiple speaker environments

Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term

Decentralized indirect adaptive Fuzzy-Neural Multi-Model control of a distributed parameter bioprocess plant

LS-SVM for bad debt risk assessment in enterprises

A unifying framework for spectral analysis based dimensionality reduction

Class specific gene expression estimation and classification in microarray data

A neural-network-based controller for a single-link flexible manipulator: Comparison of FFNN and DRNN controllers

Modeling of helper robots in manufacturing systems using Petri Nets

Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP

A new technique for optimizing and smoothing randomized paths

Extreme learning machine for multi-categories classification applications

A few online algorithms for extracting minor generalized eigenvectors

Rainfall intensity prediction by a spatial-temporal ensemble

Medical pattern understanding based on cognitive linguistic formalisms and computational intelligence methods

Adaptive training schema in Mamdani-type neuro-fuzzy models for data-analysis in dynamic system forecasting

Neural network based prediction of protein structure and Function: Comparison with other machine learning methods

Benchmarking and analysis of DNA-binding site prediction using machine learning

CIlib: A collaborative framework for Computational Intelligence algorithms - Part I

A semi-automatic indexing system for cell images

CIlib: A collaborative framework for Computational Intelligence algorithms - Part II

Object perception in the neural modeling fields framework

Biologically realizable reward-modulated hebbian training for spiking neural networks

Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks

Soft-decision hierarchical classification using SVM-type classifiers

Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm

Robust adaptive control via neural linearization and four types of compensation

Neuro-fuzzy CBR hybridization: Healthcare application

Computational intelligence software: Type-2 Fuzzy Logic and Modular Neural Networks

Algorithms for orthogonal nonnegative matrix factorization

Enhancing SOM digital music archives using Scatter-Gather

Adaptive dynamic neuro-fuzzy system for traffic signal control

Ramp metering based on on-line ADHDP (λ) controller

COX-2 activity prediction in Chinese medicine using neural network based ensemble learning methods

Extreme Learning Machine based bacterial protein subcellular localization prediction

Minimum entropy parameter estimation: Application to the RKIP regulated ERK signaling pathway

ViNNSL - the Vienna Neural Network Specification Language

Reduction of difference among trained neural networks by re-learning

A density based method for multivariate time series clustering in kernel feature space

Software quality prediction using Affinity Propagation algorithm

Neural network multitask learning for traffic flow forecasting

Towards A Novel Integrated Neuro-Cognitive Architecture (INCA)

Forecasting stock indices with wavelet-based kernel partial least square regressions

Airport noise simulation using neural networks

Batch self-organizing map algorithm: A theoretical study of self-organization of a 1-D network under quantization effects

Discrete-time recurrent neural DC motor control using Kalman learning

Evolving both size and accuracy of RBF networks using Memetic Algorithm

An evolutionary approach for the clustering data problem

Feature subset selection in a methodology for training and improving artificial neural network weights and connections

Efficient and low-complexity image coding with the lifting scheme and modified SPIHT

A topology preserving mapping for face recognition

Robust clustering algorithm for high dimensional data classification based on multiple supports

The global kernel k-means clustering algorithm

GPC scheme for the Internet-based teleoperation

Dynamic feedback tracking control of tracked mobile robots with estimated slipping parameters

Improving tractability of Clinical Decision Support system

An adaptive merging and growing algorithm for designing artificial neural networks

Unsupervised extraction of design components for a 3D parts-based representation

A model for long-term environmental sound detection

How to maintain information content in artificial neural networks with coherence adaptation

Ensembles of k-nearest neighbors and dimensionality reduction

Wind shear forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (retrograde signalling) model

Connection between SVM+ and multi-task learning

An enhancement of relational reinforcement learning

The growing Self-organizing surface Map

Eclectic method for feature reduction using Self-Organizing Maps

Conditional information and information loss for flexible feature extraction

An intelligent through-the-wall recognition system for homeland security

Evolving spiking neural networks for taste recognition

A formula of equations of states in singular learning machines

Classification of the surface EMG signal using RQA based representations

Multivariate chaotic models vs neural networks in predicting storm surge dynamics

Training of neural network ensemble through progressive interaction

Protein localization on cellular images with Markov random fields

Extracting EEG rhythms using ICA-R

A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps

A novel BPSO approach for gene selection and classification of microarray data

Image segmentation using dynamic mechanism based PCNN model

Analysis of distributed databases with a hybrid rough sets approach

Iterative learning control for 2-D systems

Classifiers based on Bernoulli mixture models for text mining and handwriting recognition tasks

Extracting human players’ Shogi game strategies from game records using growing SOM

Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming

On axon delay functions and spiking activity

Hyperparameters of Gaussian process as features for trajectory classification

Sensor-fusion in spiking neural network that generates autonomous behavior in real mobile robot

A Spiking Neural Network with dynamic memory for a real autonomous mobile robot in dynamic environment

An EEG-based BCI system for 2D cursor control

Adaptive on-line registration algorithm based on GLR

Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine

An improved method for automatically searching near-optimal artificial Neural Networks

Some fundamental issues in ensemble methods

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks

Batch-Learning Self-Organizing Map with false-neighbor degree between neurons

Relationship between depth of decision trees and boosting performance

Lazy Self-Organizing Map and its behaviors

Interpretation of river main-flow from remote sensing images: Studying on dynamic transmission cross-correlation method

Researching on combining boosting ensembles

Nonlinear model predictive control using a recurrent neural network

An LMI-neural network based solution to the load balancing problem for heterogeneous local clusters

A comparison of bayesian and conditional density models in probabilistic ozone forecasting

A neurochaotic PSO-guided network based upon perturbed duffing oscillator

Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions

Application of CAN2 to plane extraction from 3D range images

The learning convergence of High Dimension CMAC_GBF

Pattern recognition of fiber-reinforced plastic failure mechanism using computational intelligence techniques

A Q-Learning approach to developing an automated neural computer player for the board game of $CLUE^{®}$

A constrained-optimization approach to training neural networks for smooth function approximation and system identification

Recognition of on-line handwritten chemical expressions

Energy feature extraction of EEG signals and a case study

A threshold factor approach method for CFAR detector based on stochastic particle swarm optimization

From lung images to lung models: A review

State and action space segmentation algorithm in Q-learning

Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

Sparse support vector machines trained in the reduced empirical feature space

Robust modular ARTMAP for multi-class shape recognition

Fault-tolerant and high reliability space robot design and research

Vision-sensorimotor abstraction and imagination towards exploring robot’s inner world

A LLE-based approach to sensor fault detection

ATP-binding site as a further application of neural networks to residue level prediction

Financial crisis early-warning based on support vector machine

CMOS / CMOL architectures for spiking cortical column

Light mobile robot’s weight design and research

Feature selection based on kernel discriminant analysis for multi-class problems

Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces

A pooled subspace mixture density model for pattern classification in high-dimensional spaces

A hardware-oriented learning algorithm for a digital spiking neuron

Kernel discriminant analysis using composite vectors

r-SVMT: Discovering the knowledge of association rule over SVM classification trees

An approach to prediction of spatio-temporal patterns based on binary neural networks and cellular automata

Single-layered complex-valued neural networks and their ensembles for real-valued classification problems

Study on the performance of neuromorphic adiabatic quantum computation algorithms

Image restoration using L-norm regularization and a gradient-based neural network with discontinuous activation functions

Image classification using Gradient-Based Fuzzy c-Means with Divergence Measure

Selective negative correlation learning algorithm for incremental learning

A connection-limited neural network by InfoMax and InfoMin

A neural model of demyelination of the mouse spinal cord

Higher order neural networks for well log data inversion

Efficient online learning with Spiral Recurrent Neural Networks

Boosting for feature selection for microarray data analysis

Designing beta basis function neural network for optimization using particle swarm optimization

A variable structure neural network model for mid-term load forecasting of Iran national power system

Understanding and forecasting atmospheric quality parameters with the aid of ANNs

Uncertainty propagation for quality assurance in Reinforcement Learning

Unsupervised learning of categories from sets of partially matching image features for power line inspection robot

Learnt Topology Gating Artificial Neural Networks

An implementation of on-line traffic information system via short message service (SMS) for Bangladesh

Motor imagery EEG detection by empirical mode decomposition

Inductive learning of skin lesion images for early diagnosis of melanoma

Real-time recognition of continuous-time biomedical signals using the Diffusion Network

Local binary pattern with new decomposition method for face recognition

Spiking neuron models of the medial and lateral superior olive for sound localisation

SWAT: An unsupervised SNN training algorithm for classification problems

Incremental Common Spatial Pattern algorithm for BCI

A reduced rule-based localist network for data comprehension

Graphical representation of cause-effect relationships among chemical process variables using a neural network approach

Long-term prediction of time series using NNE-based projection and OP-ELM

AANN-HMM models for speaker verification and speech recognition

Dynamic neural network-based Pulsed Plasma Thruster (PPT) fault detection and isolation for the attitude control system of a satellite

Does brain react on Indian music? - A functional magnetic resonance imaging study

Hybrid learning architecture for unobtrusive infrared tracking support

A novel low complexity speech recognition approach

A neural wake-sleep learning architecture for associating robotic facial emotions

An Artificial Neural Network approach for user class-dependent off-line sentence segmentation

Virtual synaptic interconnect using an asynchronous network-on-chip

Improved illumination invariance using a color edge representation based on Double Opponent neurons

Connectivity graphs and the performance of sparse associative memory models

A behavioral model of sensory alignment in the superficial and deep layers of the superior colliculus

Image retrieval using the curvature scale space (CSS) descriptor and the self-organizing map (SOM) model under scale invariance

Efficient hardware implementation of an image compressor for wireless capsule endoscopy applications

Multivariate anomaly detection in real-world industrial systems

Support vector machines and dynamic time warping for time series

A fast and reliable routing algorithm based on Hopfield Neural Networks optimized by Particle Swarm Optimization

A self-organizing architecture of recursive elements for continuous learning

Comparative study on normalization procedures for cluster analysis of gene expression datasets

A relational cascade correlation for structured outputs

Application of self organizing Kohonen map to detection of surgeon motions during endoscopic surgery

Efficient modelling of spiking neural networks on a scalable chip multiprocessor

A network model of rational versus irrational choices on a probability maximization task

Neural control system of a mobile robot

Towards visualisation of sound-scapes through dimensionality reduction

Neural classification approach for short term forecast of exchange rate movement with Point and Figure charts

SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor

A new information-theoretic dissimilarity for clustering time-dependent gene expression profiles modeled with radial basis functions

Clustering of symbolic data through a dissimilarity volume based measure

Learning from testing data: A new view of incremental semi-supervised learning

Gaussian process regression for voice activity detection and speech enhancement

Multifractal feature vectors for Brain-Computer interfaces

A new clustering-based method for protein structure selection

Pairwise learning of multilabel classifications with perceptrons

Investigating the influence of RePART in ensemble systems designed by boosting

Tradeoff between exploration and exploitation of OQ(λ) with non-Markovian update in dynamic environments

Deterministic AdaBoost algorithm based on FLDF

An accurate localization for mobile robot using extended Kalman filter and sensor fusion

Self Organizing Maps and bit signature: A study applied on signal language recognition

The implementation of wheeled robot using adaptive output recurrent CMAC

Adaptive parameter robust estimation

A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability

Efficient segmentation in multi-layer oscillatory networks

On the decision boundaries of hyperbolic neurons

Efficient supervised learning with reduced training exemplars

Class document frequency as a learned feature for text categorization

A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition

Combining LISREL and Bayesian network to predict tourism loyalty

Recognition of hypoxia EEG with a preset confidence level based on EEG analysis

Particle with ability of local search swarm optimization: PALSO for training of feedforward neural networks

Validation of model simulations with respect to in situ observations by the use of probabilistic estimations

Shedding weights: More with less

Evolutionary algorithm for training compact single hidden layer feedforward neural networks

A computational intelligence technique for the identification of non-linear non-stationary systems

River basin flood prediction using support vector machines

Two-level clustering approach to training data instance selection: A case study for the steel industry

Emotion recognition in natural scene images based on brain activity and gist

Non-uniqueness of solutions of 1-norm support vector classification in dual form

AdaBoost algorithm with random forests for predicting breast cancer survivability

Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model

Automatic inferring drug gene regulatory networks with missing information using neural networks and genetic programming

Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction

Classification of the thyroid nodules using support vector machines

Formation of graph-based maps for mobile robots using Hidden Markov Models

Building a player strategy model by analyzing replays of real-time strategy games

Approximation of a map and its derivatives with an RBF Network using input-output clustering

Knowledge representation and acquisition for large-scale semantic memory

Sound-source localization system based on neural network for mobile robots

Comparative of data base evolution in rule association algorithms in incremental and conventional way

Research on the cellular neural network template for translation of gray-scale images

A genetic algorithm for automatic feature extraction in P300 detection

Computational intelligence virtual community: Framework and implementation issues

Active learning for the prediction of phosphorylation sites

Intelligent face mask prediction system

Enhancing the structure and parameters of the centers for BBF Fuzzy Neural Network classifier construction based on data structure

Microcalcification enhancement and classification on mammograms using the wavelet transform

A hierarchical ensemble model for automated assessment of stroke impairment

The prediction of applying Smooth Support Vector Regression and Back Propagation Network in mutual fund performance

Restoring images with a multiscale neural network based technique

Band-pass Reservoir Computing

Combining attributes to improve the performance of Naive Bayes for Regression

Chinese Character identification by visual features using self-organizing map sets and relevance feedback

The problem with ranking ensembles based on training or validation performance

Face information processing by fast statistical learning algorithm

Numerical condition of feedforward networks with opposite transfer functions

Classification of molecular structures made easy

Climatology databases using neural networks: Application to global temperature profiles

Towards modeling of Readers’ Emotional State response for the automated annotation of documents

Cognitive learning and the multimodal memory game: Toward human-level machine learning

Brain mechanisms for robotic object pose estimation

Parallel self-organizing maps with application in clustering distributed data

Information-based dichotomization: A method for multiclass Support Vector Machines

Environment mapping for mobile robots navigation using hierarchical neural network and omnivision

Fast parallel outlier detection for categorical datasets using MapReduce

A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning

A new pruning algorithm for neural network dimension analysis

Identifying uncertainty regions in Support Vector Machines using geometric margin and convex hulls

Time series forecasting through Polynomial Artificial Neural Networks and Genetic Programming

Towards using neural networks to perform object-oriented function approximation

MIMO beam-forming with neural network channel prediction trained by a novel PSO-EA-DEPSO algorithm

Hidden-Markov model based sequential clustering for autonomous diagnostics

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting

Obtaining an optimal gas injection rate for an oil production system via neural networks

A fast coreset minimum enclosing ball kernel machines

Learning of sensorimotor behaviors by a SASE agent for vision-based navigation

Generation of equal length patterns from heterogeneous patterns for using in artificial neural networks

Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines

Shape features extraction from pulmonary nodules in X-ray CT images

Kernel relative transformation with applications to enhancing locally linear embedding

Data Mining system for biochemical analysis in experimental physiology

Opportunistic spectrum access in cognitive radio networks

Optimal route of road networks by dynamic programming

Neural network based controller design for three-phase PWM AC/DC voltage source converters

Visualization with Voronoi tessellation and moving output units in Self-Organizing map of the real-number system

Analysis of inter-spike interval characteristics of piecewise constant chaotic spiking oscillators

Explicit update vs implicit update

An EEG-based subject- and session-independent drowsiness detection

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Light mobile robot’s weight design and research

Content Provider	IEEE Xplore Digital Library
Author	Junyao Gao Xueshan Gao Wei Zhu Jianguo Zhu Boyu Wei
Copyright Year	2008
Description	Author affiliation: Astrospace Sci. & Eng. Sch., Beijing Inst. of Technol., Beijing (Junyao Gao) \|\| Sch. Intell. Robot. Inst., Beijing Inst. of Technol., Beijing (Xueshan Gao) \|\| Astrospace Sci. & Eng. Sch. Intell. Robot. Inst., Beijing Inst. of Technol., Beijing (Wei Zhu; Jianguo Zhu; Boyu Wei)
Abstract	Light mobile robotpsilas weight design is a important problem which decides function and ability of mobile robot. In this paper, a total design method is advanced. There are many factors to consider, include mechanical part, electrical part, and task part. Each parts of robot must be carefully calculated and designed. There are many experiences in it. A light mobile robot is carefully analyzed as an example. The method can help mobile robot designers on how to design a robotpsilas weight quickly and not waste time and money.
Starting Page	2449
Ending Page	2454
File Size	311354
Page Count	6
File Format	PDF
ISBN	9781424418206
ISSN	10987576
DOI	10.1109/IJCNN.2008.4634139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robots Mobile robots Robot sensing systems Batteries DC motors Wheels AC motors weight design mobile robot vehicle
Content Type	Text
Resource Type	Article

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