NDLI: Comparison of extracted rules from multiple networks

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Proceedings of International Conference on Neural Networks (ICNN'97)

Proceedings of ICNN'95 - International Conference on Neural Networks

Volume 6 - 1995

Volume 5 - 1995

Volume 4 - 1995

Investigation of periodic time series using neural networks and adaptive error thresholds

Neural networks in real time control of telecommunication networks

Analysis of fast fading in multipath propagation by forward-only counterpropagation network

Neural channel assignment-the fast way

Neural adaptation for optimal traffic shaping in telephone systems

Neural detection of QAM modulation in the presence of interference

On the identification of a chaotic system by means of recurrent neural state space models

Spatiotemporal pattern generation by control and synchronization of chaos

Chaotic Potts spin

A study of Hopfield neural networks with external noises

Pulse coded cellular neural network and it's hardware implementation

The classification of motion in image sequences using 3D recursive adaptive filters to obtain neural network input vectors

Efficient image retrieval using a network with complex neurons

Improved recognition of E. coli 0157:H7 bacteria from pulsed-field gel electrophoresis images through the fusion of neural networks with fuzzy training data

Relaxation labeling and associative memory

Shell-prototype clustering models

Fuzzy gated neuronal architecture for pattern recognition

Self-learning neural network LSI with high-resolution non-volatile analog memory

Implementation of simplified multilayer neural networks with on-chip learning

General memory neural network-extending the properties of basis networks to RAM-based architectures

Behavior-driven minimal implementation of digital ANNs

A compact VLSI design for recursive neural networks with hardware annealing capability

Hardware realization of higher-order CMAC model for color calibration

Locally C/sup 1/ interpolation of functions on an arbitrary simplex mesh using a simple feed-forward perceptron

Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network

Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks

Optimization by pulsed recursive neural networks

A bigradient optimization approach for robust PCA, MCA, and source separation

Penalty formulation for 0-1 linear programming problem: a neural network approach

The use of multilayered perceptrons for remote sensing classification with temporal data

Detection of sodium oxalate needles in optical images using neural network classifiers

Image restoration by Hopfield networks considering the line process

Low bit rate coding of image sequences using neural networks

Increasing colour image segmentation accuracy by means of fuzzy post-processing

Modular neural net architecture for one-step thinning algorithm

Application of wave-nets to modelling and optimisation of a multidimensional chemical process

Prediction of bifurcation from chaotic circuit with RBF

Approximating elliptic PDE by perturbation of neural dynamics

On the mapping of linear classification trees onto one-hidden-layer neural nets

Combining neural networks for protein secondary structure prediction

Application of 3-layer perceptrons to cost estimation

Multimodule associative memory for many-to-many associations

Gaussian correlation associative memory

Mean-field theory of the three-level associative memory and its synthesis

A study of extended learning strategies for bidirectional associative memories

Relaxing backpropagation networks as associative memories

Neural networks trained for associative memory

Reduction of symbolic rules from artificial neural networks using sensitivity analysis

Integrating rules and neural computation

HILDA: knowledge extraction from neural networks in legal rule based and case based reasoning

Production rule extraction

Comparison of extracted rules from multiple networks

Significance measures and data dependency in classification methods

Emulating human decision making process using hybrid system

Integration of neural networks with knowledge-based systems

Designing a neural network by a genetic algorithm with partial fitness

Hierarchical intelligent prediction system using RBF based AFS

A robust growing-pruning algorithm using fuzzy logic

Evolving wavelet neural networks

Higher order neural networks for combinatorial optimisation improving the scaling properties of the Hopfield network

Neural network approach for general assignment problem

Neural networks for solving constrained Steiner tree problem

A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty

Solving the generalised quadratic assignment problem using a self-organising process

Dual-mode dynamics neural network (D2NN) for the traveling salesman problem

Estimation of texture element size and regularity in feature space

Using neural networks for undithering

Multi-reference neighborhood search for vector quantization by neural network prediction and self-organized feature map

A realization of edge-preserving smoothing filters using layered neural networks

Hybrid neural network system for cloud classification from satellite images

Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images

A means of VLSI current controlled weight setting in ANNs

Estimation of size of hidden layer on basis of bound of generalization error

Using genetic algorithms with grammar encoding to generate neural networks

A model for mixed category perception based on absolute feature values

Evolution and computational intelligence

Particle swarm optimization

Quick learning for multidirectional associative memories

A recurrent neural network with serial delay elements for memorizing limit cycles

Neural network approach to relevance

Optimizing the hard address distribution for sparse distributed memories

Associative storage of complex sequences in recurrent neural networks

A quick learning rule to expand stable attraction basins in autoassociative neural networks

Stability of a basic biological neural circuit

Some learning models of visual system based on local sensory signals integration learning

The efficiency of the chaotic visual behaviour in modeling the human perceptual-alternation by artificial neural network

Areas vs. layers: biological aspects of neural network design

A self-organizing neural network for learning and generating sequences of target-directed movements in the context of a delta-lognormal synergy

Propagation of the nerve-impulse within a neuronal chain

Analogue optoelectronic implementation of a neural network with in-situ learning

An artificial neural network accelerator for pulse coded model-neurons

Fast DSP implementation of high-dimensional vector classifier

A high resolution CMOS winner-take-all circuit

A Bayesian neural network chip design for speech recognition system

Digital design of discrete exponential bidirectional associative memory

Counterpropagation network and time-frequency shift-tolerant preprocessing for phoneme recognition

Connectionist architecture for all Mandarin syllables recognition

Learning new articulator trajectories for a speech production model using artificial neural networks

Speaker identification using hybrid LVQ-SLP networks

Comparative studies of two neural network architectures for modeling of human speech production

Speaker identification based on the time-delay hierarchical mixture of experts

Restoration of images degraded by space-variant distortion using a neural network

A new adaptive image sequence coding scheme using Kohonen's SOFM

A new technique to derive features for shift and unequally scaled images

Utilizing the similarity preserving properties of self-organizing maps in vector quantization of images

Visualization of neural networks using saliency maps

Enhanced Hopfield network for morphologic image processing

On Thai character recognition

New invariant pattern recognition system based on preprocessing and reduced second-order neural network

Use of bootstrap samples in designing artificial neural network classifiers

A learning strategy for multilayer neural network using discretized Sigmoidal function

Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks

A neural network based corner detection method

A high noise recognition system with self-organizing features

Effects of the sample size in artificial neural network classifier design

Feature reduction based on analysis of fuzzy regions

Morphological shared-weight neural network for pattern classification and automatic target detection

Fuzzy connectives based optimal mapping of homomorphic ARG matching onto self-organising Hopfield network

Generating data sets for benchmarking

Recognition of handwritten Chinese characters by multi-stage neural network classifiers

2-D object recognition using Fourier Mellin transform and a MLP network

Recognizing polyhedral objects using neural networks

Multi-classifiers neural network fusion versus Dempster-Shafer's orthogonal rule

Cluster detection using neural networks

Prime feature extraction in pyramid network

Two simple cooperating neural systems for efficient handwritten digit recognition

Off-line signature verification using fuzzy ARTMAP neural network

Index [of authors]

Volume 3 - 1995

Volume 2 - 1995

Volume 1 - 1995

IEEE International Conference on Neural Networks

IEEE 1988 International Conference on Neural Networks

Proceedings of International Conference on Neural Networks (ICNN'96)

Comparison of extracted rules from multiple networks

Content Provider	IEEE Xplore Digital Library
Author	Choi, E.C.Y. Gedeon, T.D.
Copyright Year	1995
Description	Author affiliation: Sch. of Comput. Sci. & Eng., New South Wales Univ., Kensington, NSW, Australia (Choi, E.C.Y.; Gedeon, T.D.)
Abstract	Neural networks can be trained to provide solutions in application domains where clear roles which would allow symbolic solutions do not exist. Neural networks in these domains still suffer from a major disadvantage, in that there is no explanation for why a particular decision was made by the network. The authors have generalised on their previous work on generating explanations for trained back-propagation neural networks to extract rules. The authors have found that there is significant variation in the quality of rules extracted from networks which have not been tuned for the task, and that the neural network correctness on the test set is not well correlated with the often better correctness of the extracted rules on the test set.
Starting Page	1812
Ending Page	1815
File Size	388455
Page Count	4
File Format	PDF
ISBN	0780327683
DOI	10.1109/ICNN.1995.488896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-11-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Testing Computer science Application software Feedforward systems Network topology Australia Electronic mail Nonhomogeneous media Logistics
Content Type	Text
Resource Type	Article

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