NDLI: Molecular electronics and neural network functions

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Stock market prediction system with modular neural networks

Computation of proximity effect corrections in electron beam lithography by a neural network

Fingerprint processing using back propagation neural networks

Connectivity strategies for higher-order neural networks applied to pattern recognition

Applying a Hopfield-style network to degraded text recognition

Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection

Frequency selective surface design based on iterative inversion of neural networks

Radial basis function classification of impulse radar waveforms

Hebbian feature discovery improves classifier efficiency

Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs)

INSIDE: a neuronet based hardware fault diagnostic system

Classifying impulse radar waveforms using principle components analysis and neural networks

Role of activation function on hidden units for sample recording in three-layer neural networks

Proposal for neural-network applications to fiber-optic transmission

Incipient fault detection and diagnosis using artificial neural networks

A neural sorting network with O(1) time complexity

Rule extraction and validity domain on a multilayer neural network

Classifying seismic signals via RCE neural network

A neural network trained to select aircraft maneuvers during air combat: a comparison of network and rule based performance

Cooperation of neural nets for robust classification

A neural network architecture for the decoding of long constraint length convolutional codes

Neural computation for planning AND/OR precedence-constraint robot assembly sequences

NPS: a neural network programming system

A shunting inhibitory motion detector that can account for the functional characteristics of fly motion-sensitive interneurons

Neural circuitry mediating locomotion in . elegans : molecular correlates of inhibitory motor neurons

Statistical neurodynamics of the oscillatory circuit underlying central pattern generation

Some experiments on learning stable network oscillations

Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion

Analogies of brain function in neural network models

A dynamical neural network model of sensorimotor transformations in the leech

Hexapod gait control by a neural network

Effect of neural network input span on phoneme classification

Application of temporal supervised learning algorithm to generation of natural language

A method for noise filtering with feed-forward neural networks: Analysis and comparison with low-pass and optimal filtering

Stock price pattern recognition-a recurrent neural network approach

Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection

Representation of material behavior: neural network-based models

A neural network approach to first break picking

A multi-layer neural network classifier for radar clutter

Modeling human performance with neural networks

Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network

Combining heuristics for optimizing a neural net solution to the traveling salesman problem

Hierarchically structured neural networks for printed Hangul character recognition

Power system state evaluation by structured neural network

Time-table scheduling using neural network algorithms

Condela-3: A language for neural networks

Implementation of minimum error expert system

A neural implementation of conceptual hierarchies with Bayesian reasoning

An examination of the application of multi-layer neural networks to audio signal processing

Velotopic maps in well-log inversion

Integrated approach using neural networks for fault detection and diagnosis

A knowledge based neural network approach for waste water treatment system

Teaching neural networks to guide a vehicle through an obstacle course by emulating a human teacher

A comparison of image compression by neural networks and principal component analysis

Neural network applications in synthetic organic chemistry. I. A hybrid system which performs retrosynthetic analysis

Some performance results for a connection machine implementation of the boundary contour system

Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS scheduling

Neural network classification of event related potentials for the design of a new computer interface

Signature verification with a syntactic neural net

Synthesis of neural networks with linear programs

Testability of the arbitrage pricing theory by neural network

Modified neocognitron with position normalizing preprocessor for translation invariant shape recognition

Neurocomputation of image motion

An artificial neural network for motion detection and speed estimation

Adaptive clustering neural net for piecewise nonlinear discriminant surfaces

Multispectral magnetic resonance image segmentation using neural networks

Application of the boundary contour/feature contour system to magnetic resonance brain scan imagery

Orthogonal learning network for constrained principal component problem

An initial performance evaluation of unsupervised learning with ALIAS

A neural network based matrix inversion algorithm

Pattern classification using self-organizing feature maps

LVQ of image sequence source and ANS classification of finite state machine for high compression coding

General layered neural network for stereo disparity detection

A texture classifier based on neural network principles

Local correlations as a translationally invariant feature space for target detection

Low-level image processing and edge enhancement using a self-organizing neural network

A physiologically motivated front-end for speech recognition

Massively parallel image restoration

Neural network discrimination of subtle image patterns

Analysis of large multi-dimensional data with a backpropagation neural network

Design, fabrication and evaluation of a 5-inch wafer scale neural network LSI composed on 576 digital neurons

A data compression system using neural network based architecture

A spatial summation model for image processing by artificial neural networks

A VLSI architecture for high-performance, low-cost, on-chip learning

Improved versions of learning vector quantization

A CCD based neural network integrated circuit with 64K analog programmable synapses

Improved generalization in ANNs via use of conceptual graphs: a character recognition task as an example case

A modular architecture for efficient learning

Supervised and reinforced competitive learning

Silicon compiler for neuro-ASICs

Information theory principles for the design of self-organizing maps in combination with hidden Markov modeling for continuous speech recognition

Temporal backpropagation for FIR neural networks

VLSI image processor using analog programmable synapses and neurons

APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature

Nonlinear prediction with self-organizing maps

The VLSI implementation of STONN

Back-propagation heuristics: a study of the extended delta-bar-delta algorithm

Convergence properties of a pulsed neural network

Evolutionary programming for training neural networks

A stochastic training technique for feed-forward neural networks

Backpropagation in neural networks with fuzzy conjunction units

The recticular formation as a multi-valued logic neural network

Novel backpropagation algorithm for reduction of hidden units and acceleration of convergence using artificial selection

Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2

Neural units recruitment algorithm for generation of decision trees

Backpropagation representation theorem using power series

Function approximation and time series prediction with neural networks

Sigma-pi implementation of a nearest neighbor classifier

Relative effectiveness of training set patterns for backpropagation

The learning rate in back-propagation systems: an application of Newton's method

A neural network for optimum Neyman-Pearson classification

Estimating a posteriori probability with P-type nodes

An optimized backpropagation with minimum norm weights

Fault tolerance in artificial neural networks

A proposal for indicating quality of generalization when evaluating ANNs

A fast algorithm for finding global minima of error functions in layered neural networks

Supervised learning techniques for backpropagation networks

Recurrent neural networks, hidden Markov models and stochastic grammars

Quadratic Hadamard memories

Bidirectional associative memory with several patterns

Ho-Kashyap content-addressable associative processors

Systematic design of associative memory networks: equilibrium confinement, exponential stability and gradient descent learning

Autoassociative neural memory capacity and dynamics

Adaptive control of prosthetic limbs using neural networks

ASDM-a novel neural network model based on sparse distributed memory

Fully distributed diagnosis by PDP learning algorithm: towards immune network PDP model

A pseudo-inverse neural net with storage capacity exceeding N

Character recognition using a dynamic opto-electronic neural network with unipolar binary weights

Error propagation in fractal neural networks

Inner-product implementations of optical associative memories

Analysis of classification performance for Hopfield network with predefined correlated exemplar patterns

A connectionist model of associative storage and recall of 3D objects

A bi-directional associative memory used in a pattern recognition system

On the state transition graph of Hopfield net model

Maximum capacity topologies for fully connected layered neural networks with bidirectional connections

LSI module placement methods using neural computation networks

Figures of merit for the performance of Hebbian-type associative memories

Use of true-complement optical images for efficient associative memory implementation

Reliability measures for Hebbian-type associative memories with faulty interconnections

Basins of attraction revisited

Integers neural network systems (INNS) using resonance properties of a Fibonacci's chaotic `golden neuron'

An analysis of the convergence time of Hamming memory networks

Handwritten pattern recognition with a binary associative memory

A method for generating digital signals in response to novel inputs

A novel generalized flip-flop for memory association and maximization in artificial neural network

A neural network based multi-associative memory model

A self-organizing neural network for locus-addressable associative memory

Toward context dependent classification of infra-red spectra by energy minimization

Neural network data fusion concepts and application

Multi sensor data fusion within hierarchical neural networks

Vision, analog networks, and the minimum norm constraint

Meteorological classification of satellite imagery using neural network data fusion

Neural network controller for adaptive routing in survivable communications networks

A neurocontroller based on model feedback and the adaptive heuristic critic

Speaker-independent recognition of spoken English letters

Bone fracture healing assessment using a neural network

A real time neural net estimator of fatigue life

Categorization of faces using unsupervised feature extraction

A high-speed learning method for analog neural networks

Building expert systems by a modified perceptron network with rule-transfer algorithms

Neural networks for computing invariant clustering of a large open set of DNA-PCR-primers generated by a feature-knowledge based system

PROCANS: a protein classification system using a neural network

Out-of-core backpropagation

The use of back propagation neural networks to identify mediator-specific cardiovascular waveforms

Information retrieval using hybrid multi-layer neural networks

A new robust neural network method for coherent interference rejection in adaptive array systems

Structured trainable networks for matrix algebra

Nonlinear dynamic system identification using artificial neural networks (ANNs)

Improved evoked potential estimation using neural network

Feature maps based weight vectors for spatiotemporal pattern recognition with neural nets

Neural networks for bond rating improved by multiple hidden layers

A neural network model for bankruptcy prediction

Systolic array implementations of neural nets on the MasPar MP-1 massively parallel processor

Operational experience with a neural network in the detection of explosives in checked airline luggage

The harmonium and decision problems

A PC-based neural network for recognition of difficult syllables using LPC coefficient difference

Phoneme recognition with a time-delay neural network

Multi-fault diagnosis of electronic circuit boards using neural networks

A low cost pattern classifier based on coding techniques

Stochastic competitive learning

A drive-reinforcement neural network model of simple instrumental conditioning

Fast adaptive -means clustering: some empirical results

Dynamics of feedback neural nets with unsupervised learning

Conditions for the convergence of one-layer networks under reinforcement learning

An on-line algorithm for dynamic reinforcement learning and planning in reactive environments

Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks

Pulse stream neural networks and reinforcement learning

Single layer potential function neural network for unsupervised learning

Self-organizing hierarchical feature maps

Competitive learning using competitive activation rules

A general architecture for classical conditioning of perceptual-motor sequences

Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connections

Self-organization by delta rule

SONNET: a self-organizing neural network that classifies multiple patterns simultaneously

Self-organization properties of a discriminator-based neural network

Self-organizing neural network character recognition on a massively parallel computer

Time-delayed self-organizing maps

Learning filter systems

Unsupervised clustering based on a competitive cost function

TRELIS: an optimal unsupervised local training rule

Addressing scaling and plasticity problems with a biologically motivated self-organizing network

A neural network approach to prediction of psychological performance in frequency discrimination

Circular inhibition: a new concept in long-range interactions in the mammalian visual cortex

A $_{R-P}$ learning applied to a network model of cortical area 7a

Algorithm programmed by a neural network model for coordinate transformation

Coherency detection and response segregation by synchronizing and desynchronizing delay connections in a neuronal oscillator model

Synchronization in distributed neural systems

Chaotic dynamics of time-delay neural networks

Size and distortion invariant object recognition by hierarchical graph matching

Neural mapping and space-variant image processing

A neural network model for the formation of topographic maps in the CNS: development of receptive fields

Modeling of oscillatory activity of neuron assemblies of the visual cortex

Generalization of neural networks to the complex plane

Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objects

Calculating the information content of a temporally modulated spike train

Analysis of real neuronal circuits in the vertebrate central nervous system

Verification of continuity, using temporal code

A random walk in Hamming space

Thermal comfort sensor based on probabilistic energy neural network

Mechanisms of pattern discrimination in the toad's visual system

Maximally fault-tolerant neural networks and nonlinear programming

Tactile feature extraction and classification with connectionist models

Functional interpretations of neocortical modules

Reconstruction of Munsell color space by a five-layered neural network

Depth interpolation from surface boundary perceived with binocular viewing

A digital neural network architecture for VLSI

The Lockheed programmable analog neural network processor

Pulse-processing neural net hardware with selectable topology and adaptive weights and delays

An enhanced parallel planar lattice architecture for large scale neural network simulations

A digital multilayer neural network with limited binary expressions

A parallel neural network simulator

A fuzzy cognitive system: examination of a referential neural architecture

Multi-layer perceptrons with discrete weights

Fault tolerant neural networks with hybrid redundancy

Organization of oscillatory motor pattern generation networks in the mammalian central nervous system

Multineuron recordings and the analysis of state dependent network configurations in respiratory neuron assemblies

Reconstructing computational principles in a vertebrate adaptive reflex system

Intrinsic capabilities of neural networks in the turtle spinal cord: selection and generation of motor patterns

Neural networks controlling wrist movements

Motor cortical activity during sinusoidal tracing

Cerebral cortical neuronal mechanisms of reaching movements

A neural network that learns to integrate oculomotor signals

Modeling the three neuron vestibulo-ocular reflex arc: contribution to eye movement computation

Cerebellar control of endpoint position-a simulation model

Parallel processing within motor areas of cerebral cortex and basal ganglia in the monkey

Toward a model of the hippocampus

A neural system for behavioral conditioning of mobile robots

An active vision system for navigation in a natural environment

Experiments with a neural controller

The reactive touch model: determining which way to move to avoid touching

Hierarchical neural net for learning control of a robot's arm and gripper

Trajectory analysis in human epileptiform discharges of temporal lobe origin

Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences

On the neural network of a synthetic cerebellum to control fast movements of an arm

Learning the motion map of a robot arm with neural networks

Command of visually guided 3D arm movements by the cerebral cortex

A biologically motivated algorithm for image interpretation based on multi-pass multi-resolution techniques

A self-organizing system for object analysis and identification

A two-dimensional shift invariant image classification neural network which overcomes the stability/plasticity dilemma

A connectionist approach to multiple-view based 3-D object recognition

Invariant object recognition based on a neural network of cascaded RCE nets

Hardware requirements for neural-net optical character recognition

Multisensor fusion classification with a multilayer perceptron

Motion estimation based on point correspondence using neural network

A network for motion perception

Multiresolution stereo by simulated annealing

Rotational invariant formulation for line process

A modular hierarchical neural network for machine vision

Discriminant operators: emulation of visual receptive fields for the extraction of transitions in signals and images

A selective attention neural network for object recognition

A neural network approach for Chinese character recognition

Direction-selective mechanisms for vision: analytical models

ART-1 neural network for reducing search space in 3-D object recognition using multiple views

A neural architecture for visual recognition of general stationary objects by machines

A study of a divided learning method

Medical image segmentation with MARA

On the capacity of three-layer networks

Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights

Convergence of Kohonen's learning vector quantization

Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights

Modification of backpropagation networks for complex-valued signal processing in frequency domain

Neurogammon: a neural-network backgammon program

MEKA-a fast, local algorithm for training feedforward neural networks

Analysis of transients on basis of identification of signal generative structure: Even unto chaos

Query learning based on boundary search and gradient computation of trained multilayer perceptrons

Comparison between entropy net and decision tree classifiers

Smoothing backpropagation cost function by delta constraining

A learning rule in the Chebyshev norm for multilayer perceptrons

A generalist-specialist paradigm for multilayer neural networks

Learning with hidden targets

Learning by parallel forward propagation

Neural networks in noisy environment: a simple temporal higher order learning for feed-forward networks

Learning internal representations of pattern sequences in a neural network with adaptive time-delays

Topological analysis of infinite learning automata I: classification of neural network behavior

Strictly local backpropagation

Dynamics of signal processing in feedback multilayer perceptrons

The influence of training sets on generalization in feed-forward neural networks

A method for designing the internal representation of neural networks

Explicit representation of knowledge acquired from plant historical data using neural network

Extra output biased learning

Descending epsilon in back-propagation: a technique for better generalization

Learning algorithms for auto-associators with full storage capacity

Connectionist nonlinear over-relaxation

A new error criterion for posterior probability estimation with neural nets

A higher order unit that performs arbitrary Boolean functions

Logistic regression and the Boltzmann machine

Binary backpropagation in content addressable memory

An approximation of nonlinear discriminant analysis by multilayer neural networks

Learning in a recognition network: a synthesis of model-based and data-driven approaches

Classification of large set of handwritten characters using modified back propagation model

Learning in asymptotically behaving neural networks

Scaling of back-propagation training time to large dimensions

The piecewise linear neural network: training and recognition

The effects of distortion measures and feature sets on neural network classifiers

A fast learning technique for the multilayer perceptron

A feedback neural network with supervised learning

Resource constrained design of artificial neural networks

High order neural networks with reduced numbers of interconnection weights

Linear discriminants, logic functions, backpropagation, and improved convergence

Learning an archetype of a symmetry class

Memorizing hierarchical temporal patterns in analog neuron networks

A novel, geometric supervised learning scheme using linear programming approach

Self-adaptive neural architectures for control applications

A network with pulse processing neurons for generation of arbitrary temporal sequences

Quasi-local solution for inverse kinematics of a redundant robot arm

Robot kinematic control based on bidirectional mapping neural network

Application of neural networks on robot grippers

A neural network interface to the DIGITS Grasping System

Comparison of fuzzy and neural truck backer-upper control systems

A self-organizing controller for dynamic processes using neural networks

Fuzzy control using neural network techniques

A regulator design method using multi-layered neural networks

Neural network adaptive controllers

A neuromorphic cascaded context sensitive controller for robot manipulator

Neural network architectures for the forward kinematics problem in robotics

Methuselah networks and optimal control

Neural network based controllers for a single-degree-of-freedom robotic arm

Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacher

Unsupervising adaption neural-network control

Neural networks for process identification

A new adaptive control algorithm based on signal characterization

Neural network application for robotic motion control-adaptation and learning

The `detailed balance' net: a stable asymmetric artificial neural system for unsupervised learning

Remarks on the stability of asymmetric dynamical neural networks

Hairy neuron convergence theorems without the precision of timing

Learning in competitively inhibited neural nets

Dynamics of lateral interaction networks

Dynamical self-organization and formation of cortical maps

A learning rule for CAM storage of continuous periodic sequences

Solving the tag assignment problem for neural networks with simulated assemblies of minicolumns

A dynamic approach to invariant extraction from time-varying inputs by using chaos in neural nets

Genetic programming: building nanobrains with genetically programmed neural network modules

Improved neural networks for analog to digital conversion

An analysis of the flows of neural networks with linear interconnections

Continuous analogs to discrete dynamical systems with application to modeling biological response

On the computational power of neural networks and neural automata

Dynamical properties of neural nets using competitive activation mechanisms

An algebraic proof for backpropagation in acyclic neural networks

Fixed-weight networks can learn

Recurrent networks for learning stochastic sequences

Requirements for the synthesis of Boolean neural networks

Brownian motion theory as a physical foundation for feedback neural networks

A global state driven cooling schema for simulated annealing used with Boltzman machine

Computer networking topological and parametric representations for functional neural networks

A discrete-time neural network model for systems identification

Response learning

Function approximation with an orthogonal basis net

An annealing approach to associative recall in the CBM model

Information in a dynamic theory of behavioral patterns

Knowing how to juggle: dynamical basis of a complex, learned skill

Dynamically defined gestures in an articulatory phonology

A self-organizing scale-sensitive neural network

Stationarity and nonstationarity in a self-organizing information system with primitive intentions

A cognitive model coming up to epistemological claims: constructivist aspects to modeling cognition

An associative memory model of language

Phoneme-based word recognition by neural network-a step toward large vocabulary recognition

Recognition of Danish phonemes using an artificial neural network

An attractor neural network model of semantic fact retrieval

A study on artificial neural network generalization capability

Position independent neuro pattern matching and its application to handwritten numerical character recognition

Principles and applications of the cortical column symbolic neural model

Dissolving variables in connectionist combinatory logic

Adaptive behavior in sub-neural microtubule automata

Effect of long-term potentiation on the behavior of neural networks

A simulation of somatosensory cortical map plasticity

Adaptive input field neural network-that can recognize rotated and/or shifted character

Interactions among embedded extensive networks under uncertainty

Using genetic algorithms to select and create features for pattern classification

Percognitron: Neocognitron coupled with perceptron

Stability of linear programming neural network for problems with hypercube feasible region

Creative dynamics approach to optimization problems

The definition of necessary hidden units in neural networks for combinatorial optimization

Multiscale optimization in neural nets: preliminary report

Ineffectiveness in solving combinatorial optimization problems using a Hopfield network: a new perspective from aliasing effect

An elastic net solution to obstacle avoidance tour planning

A neural network least-square estimator

Locally interconnected layered neural network for path optimization

Competitive self-organization and combinatorial optimization: applications to traveling salesman problem

Sigma-pi implementation of a Gaussian classifier

A neural algorithm to solve the Hamiltonian cycle problem

Discrete Hopfield model with graded response (analysis and applications)

Automatic translation of constraints for solving optimization problems by neural networks

Encoding logical constraints into neural network cost functions

Convergence of the Hopfield neural networks with inequality constraints

The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations

Linear programming and associative memory matrices

Scaling neural network for job-shop scheduling

A self-adaptive connectionist shortest-path algorithm utilizing relaxation methods

Neural network number systems

An optimal matching-score net for pattern classification

A discrete stochastic neural network algorithm for constraint satisfaction problems

Genetic design of processing elements for path planning networks

Optimization techniques applied to neural networks: Line search implementation for back propagation

Feasible directions linear programming by neural networks

Fast parallel simulated annealing for traveling salesman problem

A neural network for solving the travelling salesman problem on the basis of city adjacency in the tour

Optimisation of network structure using genetic techniques

Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization

GaAs/AlGaAs based multiquantum well device for learning and decision making in optical neuro-computers

Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin

A retinomorphic VLSI smart sensor for invariant geometric object recognition

A constraint neural network for Huffman-Clowes scene labeling

Molecular electronics and neural network functions

Regularity properties in pulse transmission networks

Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network

Solving inversion problems with neural networks

Polar backpropagation [artificial neural networks]

Competitive learning's global search property

A two step sorting algorithm

International 1989 Joint Conference on Neural Networks

Molecular electronics and neural network functions

Content Provider	IEEE Xplore Digital Library
Author	Simic-Glavaski, B.
Copyright Year	1990
Abstract	A description is presented of electrooptical properties of iron tetrasulfonated (Fe-TsPc) and oxygen bridged silicon $(SiPcO)_{n}$ phthalocyanines, where is the number of Pc molecules organized in a stacking-ring configuration. Cyclic voltammetry alters the redox state of the adsorbed molecules and provides current-voltage characteristics describing redox currents and potentials. If one observes intensity change of the optical signal, then a light detector records optical changes. This mode of operation is an analog one and is relatively slow, since it requires intramolecular charge transfers to be performed by electrical means involving an interfacial capacitance effect. On the other hand, if intramolecular charge transfer is caused by optical methods, e.g., by illuminating molecules with lights which fall in the light absorption bands at about 330 and 660 nm, then the optical output changes in a digital fashion. In another mode of operation, the experimental results are very similar to the Hopfield energy curve, with a multiplicity of minima representing stable states of a neural network
Starting Page	809
Ending Page	812
File Size	269064
Page Count	4
File Format	PDF
DOI	10.1109/IJCNN.1990.137963
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1990-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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