NDLI: A robust learning algorithm

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Volume ii - 1991

Estimation of generalization capability by combination of new information criterion and cross validation

Learning of category boundaries based on inverse recall by multilayer neural network

A fast online learning algorithm for recurrent neural networks

A non-iterative method for training feedforward networks

Comparison of perceptron training by linear programming and by the perceptron convergence procedure

Mean-variance backpropagation: a connectionist learning algorithm with a selective attention mechanism

Learning sequential structure with recurrent pRAM nets

Induction of neural networks for parallel binary operations

A superior error function for training neural networks

Flash learning for a multilayer network

An unsupervised hyperspheric multilayer feedforward neural network classifier

Characteristics of the associative memory trained by the learning-unlearning algorithm

Genetic reinforcement learning for neural networks

Generalization in feed forward neural networks

Learning explicit rules in a neural network

Minimum-cost Ho-Kashyap associative processor for piecewise-hyperspherical classification

Continuous-time temporal back-propagation

Relating logical neural network to conventional models of computation

Connectionist generalization for production: an example from GridFont

Training of a three-layer dynamical recurrent neural network for nonlinear input-output mapping

Hybrid learning in expert networks

Back propagation simulations using limited precision calculations

The capacity of a two layer network with binary weights

How Gaussian radial basis functions work

Multilayer feedforward networks can learn strange attractors

Double backpropagation increasing generalization performance

ART 2-A: an adaptive resonance algorithm for rapid category learning and recognition

On the capacity and generalisation ability of more realistic neurons

A Frobenius approximation reduction method (FARM) for determining optimal number of hidden units

Optimal learning algorithm in bidirectional associative memories

Local minima and back propagation

Reduction of interconnection weights in higher order associative memory networks

Learning in analog Hopfield networks

Self organizing modular neural networks

A comparison of two eigen-networks

Improved rate of convergence in Kohonen neural network

Application of GRG2 for training neural networks

Strategies of unsupervised learning for a parallel parsing architecture

Optimal pruning of neural tree networks for improved generalization

NETCLASS-a fresh look at connectionist category formation

A neural net model of normal and dyslexic spelling

Dynamics of the Amari-Takeuchi competitive learning model

Segmentation and binding in an oscillatory neural network

Synchronized oscillations during cooperative feature linking in visual cortex

Dynamic properties of neural network with adapting synapses

On a neural network with synaptic weight having double minimum potential

The Kanerva memory is stable

Second-order recurrent neural networks for grammatical inference

Stability of image processing neuro chips: spatial and temporal

Continuum model for quadratic memories

On the capacity of a Markov-chain encoded associative memory

On the complexity of computing equilibria for nonsymmetric analog networks

The local backward-forward algorithm

Hardware annealing for fast retrieval of optimal solutions in Hopfield neural networks

Period-doublings to chaos in a simple neural network

Global dynamics in neural networks. III

Higher degree error backpropagation in cross-coupled Hopfield nets

Turing equivalence of neural networks with second order connection weights

Reliability characteristics of Hebbian-type associative memories in network implementation

The autoregressive backpropagation algorithm

Neural-net method for dual subspace pattern recognition

On optimal adaptive classifier design criterion

Using the symmetries of a multi-layered network to reduce the weight space

Genetic generation of both the weights and architecture for a neural network

Using LMS trees for imaging processing

Fuzzy ART: an adaptive resonance algorithm for rapid, stable classification of analog patterns

Design of unsupervised classifier

Error propagation and supervised learning in adaptive resonance networks

On fuzzy neuron models

Associative memory networks, fault-tolerance and coding theory

Using stereographic projection as a preprocessing technique for Upstart

Fault tolerance of pruned multilayer networks

Learning to generate subgoals for action sequences

Optimal dimensioning of counterpropagation neural networks

Fuzzy rule extraction from a multilayered neural network

The augmented ART1 neural network

Information theoretic derivation of network architecture and learning algorithms

An ART2-TPM neural network for automatic pattern classification

Using CNLS-net to predict the Mackey-Glass chaotic time series

A neural network for interpretation of multi-meaning words

The design of multi-layer perceptrons using building blocks

Analysis of the effects of quantization in multi-layer neural networks using a statistical model

Contrastive Hebbian learning and the traveling salesman problem

A k-nearest neighbor artificial neural network classifier

Self-organizing neural network for spatio-temporal patterns

Autoassociative memory with 'inverted pyramid' logic networks

Unsupervised clustering with growing cell structures

Recurrent multilayer perceptron for nonlinear system identification

Temporal processing with connectionist networks

An integrated neurocomputing system

Encoding and classification in a model of olfactory cortex

Semi-local units for prediction

Adaptive transfer functions (backpropagation neural nets)

Cooperation of neural nets and task decomposition

Frequency based computation in neural networks

A biological approach to plasticity in artificial neural networks

A mapping neural network using unsupervised and supervised training

Recurrent and feedforward backpropagation for time independent pattern recognition

Dimension reduction, generalized deformable models and the development of occularity and orientation

Sensory segmentation by neural oscillators

Spatiotemporal correlation in the cerebellum

Unsupervised learning for the visual cortex (layer IV): model and simulations

Neural network approach to maintenance and termination of central pattern generation

Topography and ocular dominance can arise from distributed patterns of activity

A neural model suggesting how speech spectra may be represented by the nervous system

Adaptive matched filtering in peripheral nervous system

Dynamic model-based controller in the brain

An information theoretical interpretation of neuronal activities

Ontogenetic development of retinotopy and of ocular dominance columns

Neurodynamic approach to odor processing

Complex oscillations and chaos in a simple neuron model

Differentiation processing of linear and nonlinear information in retinal neural network

Evolving neural network controllers for unstable systems

Towards practical control design using neural computation

Knowledge of knowledge and intelligent experimentation for learning control

Prejudicial searches and the pole balancer

Integrated approximation and non-convex optimization using radial basis function networks

Learning to control: some practical experiments with neural networks

A structure by which a recurrent neural network can approximate a nonlinear dynamic system

Quadrupedal walking using trained and untrained neural models

Nadine-a feedforward neural network for arbitrary nonlinear time series

ANN modeling of Volterra systems

Linear quadratic regulation using neural networks

Adaptive neural network control with frequency-shaped optimal output feedback

Intelligent control of a robotic arm using hierarchical neural network systems

Ultrasonic sensing based robot localization using entropy nets

Integrating optimal control with rules using neural networks

Neural network architectures for active suspension control

Neural modeling and control of a distillation column

Vibration cancellation at multiple locations using neurocontrollers with real-time learning

Machine acquisition of skills by neural networks

Global optimization of a neural network-hidden Markov model hybrid

Noise-robust speech recognition using a cepstral noise reduction neural network architecture

Speaker-independent phonetic classification in continuous English letters

Speaker independent vowel recognition using neural tree networks

Learning vector quantization, multi layer perceptron and dynamic programming: comparison and cooperation

Improving a phoneme classification neural network through problem decomposition

A Hopfield network implementation of the Viterbi algorithm for hidden Markov models

From lattices of phonemes to sentences: a recurrent neural network approach

Speaker-invariant phoneme recognition using multiple neural network models

Modular connectionist structure for 100-word recognition

Voiced-unvoiced-silence classification of speech using neural nets

A modular connectionist architecture for text-independent talker identification

An analog integrated speech front-end based on the auditory periphery

Training speed-up methods for neural networks applied to word recognition

Processing spatio-temporal patterns by mapping time into intensity

A neural network model of serial order recall from short-term memory

Computational model of a biologically plausible cognitive map

Neural network routing for multiple stage interconnection networks

Neural network analysis of DNA sequences

A neural network approach to the vehicle dispatching problem

A comparison of MLP and ID3-derived approaches for ECG classification

JackKnife method for validating neural network models

Applications of neural networks to F-16 avionics

Cooperative schemes for conventional and neural expert systems

Approximate representation of a continuous function by a neural network with scaled or unscaled sigmoid units

A design principle of the analog neural network for combinatorial optimization: findings from a study on the placement problem

Neural network learning of structure-activity relationships

An application of Hopfield network to discrete Fourier transform

Polynomial neural networks for signal processing in chaotic backgrounds

Map learning using associative memory neural network

A novel IDMLP model and its application to the recognition of Chinese character

The effect of ANN hidden layer neurons on boundary identification for constrained optimization

Gestures and neural networks in human-computer interaction

A hierarchical interaction architecture for pattern recognition

A plant modeling with a fuzzy associative memory system

Correct reaction neural network and its implementation

Implementation of the relaxation process by the interactive activation and competition network

Neurocomputing and computer-based tutoring: modeling learner performance

Neuro-controllers in communications

A neural network based expert system model

Backpropagation converges for multi-layered networks and linearly-separable patterns

A parallel algorithm for standard cell placement

Prediction of next alphabets and words of four sentences by adaptive junction

Temporal pattern identification in a self-organizing neural network with an application to data compression

Applying neural network technology to future generation military flight control systems

Convex error functions for multilayered perceptrons

A neural network model for traffic controls in multistage interconnection networks

Method of using MLP to identify decision surface for problems with highly uneven training examples

Nonlinear modelling of back-propagation neural networks

Automatic target recognition with Chebychev networks

Nonlinear time series prediction with a discrete-time recurrent neural network model

A pairing strategy in associative memory classifier

Identification of the internal forces of structural systems using neural networks

Training neural networks for deriving bond rating formulas

Decision making for investment in manufacturing equipment via PDP network-the application of schema model

Predicting the number of vias and dimensions of full-custom circuits using neural networks techniques

Novelty detection on a very large number of memories stored in a Hopfield-style network

A study of the learning of three-layer back-propagation pattern recognizers for statistical quality control charts

Disbond detection through ultrasonic signal classification using an artificial neural network

Feature extraction and classification using a hierarchical neural network topology

Neural network signal classifier with uncertain output rejection algorithm

Networks for programming

A neural net solution of a real-world engineering problem

Commodity trading with a two year old

Pre-segmented handwritten digit recognition using neural networks

Neural network based pattern recognition for sequenced DNA autoradiograms

Visual entity identification: a neural network approach

Application of an artificial neural network in the SALC explosive detection system

A parallel algorithm for scheduling problem based on Hopfield model for the automated synthesis of digital systems

Spreadsheet simulation of artificial neural network

Hyperspectral data fusion for target detection using neural networks

A proposed model for comparing the performance of neural network and statistical approaches in predicting project profits of an asphalt paving company

A PC-based simulated-liver tissue classification using artificial neural net classifier

Using adaptive neural networks for situation recognition in high- and low-intensity conflict

Adaptive resonance theory and the classical leader algorithm

Using neural network technology for predicting military attrition

Analytical weight shifting models for self-recovery networks

High-speed pulse mode neural network with EE weights and on-chip learning (PMNN)

Modeling neural information transfer via sample and hold circuits

A biologically motivated model for rotation, shift, scaling and distortion invariant pattern recognition

A dipole receptive fields-based document enhancement system

Image restoration using Lagrange programming neural networks

Neural network based classification of highway scenes for vehicle guidance

An autonomous digital neural network architecture for segmenting hand-printed characters into visually pleasing and low variability sub-classes

Coarse-coding applied to HONNs for PSRI object recognition

Neural computation methods for the point correspondence problem

2-dimensional color sensor with combined neural network

A large scale neural network 'CombNET-II'

Automatic classification of solder joint images

Application of feedforward neural networks to object recognition for image analysis

Image sequence correspondence via Hopfield neural network

Neural network classifier to threshold images from 3D microcomputed tomography

Shape recognition with nearest neighbor isomorphic network

A real time simulated human vision system using connectionist models applied to target tracking

Training a hierarchical image model without a high-level teacher

Image transformation using a feature map of multiply descent cost competitive learning

Neural networks for step edge detection

Astroglial-neural networks, diffusion-enhancement bilayers, and spatio-temporal grouping dynamics

Selective attention of high-order neural networks for invariant object recognition

Extraction of chained contour lines in images by a synchronous Boltzmann machine

Regularized matrix inversion on a neural network architecture

Adaptation by change of passive membrane resistance

A neural architecture for illusory contour detection

Extracting information-dense vectors from images for neural network classifiers

Recognizing structured forms using neural networks

A neural network algorithm for longitudinal motion stereo

Robust aircraft classification using moment invariants, neural network, and split inversion learning

A neural network for motion computation

A selective attention neural network for invariant recognition of distorted objects

Novel preprocessing techniques as an aid to hand-printed character recognition

Perception of illusory solid object with binocular viewing

Back to single-layer learning principles

Neural classifiers using loss functions

A connectionist simulation of human word associations

Efficient activation functions for the back-propagation neural network

A self-optimizing stochastic dynamic node learning algorithm for layered neural networks

Translating neural networks into rule-based expert systems

A neurointelligence: multisignificance images and neurocomputing

A simple strategy for building and training multilayer neural networks

Competitive Hebbian learning

Feature map learning with partial training data

Reduced-conflict learning for similar pattern recognition using backpropagation neural networks

An adaptive training algorithm for layered perceptron type neural networks

Back-propagation training using a least mean power error function

Generalization by humans, neural nets, and ID3

Fault-tolerant artificial neural networks

Translational invariant object recognition using back propagation network

Forecasting multivariate time-series: Confidence intervals and comparison of performances of feed-forward neural network and statespace models

Minimum misclassification error performance measure for layered networks of artificial fuzzy neurons

Neural recognition of cursive handwriting

Neural network for direction or frequency estimating and tracking

Identification and application of neural operator models in a car driving situation

Neural based methods for music composition

Alternative simulation annealing processes for global optimization in neural networks

Multimodular neural architecture for teledetection

A data compressed ART-1 neural network algorithm (group technology application)

An industrial application to neural networks to reusable design

Practical difficulties to design real-time learning VLSI neural circuits

A new optical neuron device for all-optical neural networks

A VLSI and WSI systolic architecture for multilayer feed-forward networks of arbitrary size

An artificial neural network simulator on the loosely coupled parallel processors

A digital CMOS fully connected neural network with in-circuit learning capability and automatic identification of spurious attractors

A complex analogue neural network with digitally controlled parameters

A stochastic logic neural network as a deterministic and probabilistic Hopfield network

Real-time unsupervised neural networks for non-implementable in natural noise: A refutable hypothesis based on experiment

A VLSI architecture for a dedicated back-propagation simulator

'NPL'-A neural programming language

A new two-dimensional systolic array for image processing and neural network applications

A hybrid optoelectronic ART-1 neural processor

A practical approach for representing context and for performing word sense disambiguation using neural networks

A competitive learning of three-layer neural networks

On the generalization ability of neural network classifiers

Neural-net classifiers and a priori information

Curvature-driven smoothing in feedforward networks

A neural net implementation of the fuzzy c-means clustering algorithm

Effect of parameter value and initial weights on the performance of backpropagation algorithm

A delta-rule encoding for bidirectional associative memory

Low-storage, second-order learning algorithms: an extended abstract

Using evolutionary neural networks for arterial waveform discrimination

Aging and damage effect on the brain and phase transition

Probabilistic decision trees and multilayered perceptrons

A parallel processing strategy for dynamic learning rate adaptation for feedforward networks

The Guelph Darwin Project: the evolution of neural networks by genetic algorithms

Best match algorithm with radial basis functions (BMRBF)

The proper thesis of connectionism and the ability to model

D-ART: a pattern recognition system based on adaptive resonance and algebraic metric space theories

Storage capacity and retrieval properties of an auto-associative general neural unit

A neural network that learns to do hyphenation

Input data redundancy in interpolation-based neural nets

Heuristic configuration of hidden units, in backpropagation neural networks

Convergence analysis for a class of neural networks

Iterative methods for neural network design

Feature detectors and difference operators in BP networks

Tuning of learning rate and momentum on backpropagation

A study on a tuning method of neural network

Neighborhood distortion functions and self-organizing feature maps

Activity level of a neural net and its learning environment

Limiting fault-induced output errors in ANNs

A robust learning algorithm

Learning and generalization in logic trees

Analytic realization of polynomial functions by multilayer feedforward neural networks

Are higher order statistics better for maximum entropy prediction in neural networks?

Self-organizing analog fields (SOAF)

A logical architecture for supervised learning

Modeling neural network semantics

Convergence mechanism of learning on backpropagation and new high speed method

Learning a synaptic learning rule

Cognitive model for programming computers

A learning algorithm for multilayered neural networks: a Newton method using automatic differentiation

Feed-forward neural network with adaptive buffer length

Shape of learning surface in multilayer neural networks

The maximum likelihood estimation learning neural network

A clustering algorithm for implementation of RBF technique

The production of equivalent transfer functions from trained networks

An algorithm for training multilayer perceptrons

Representation of information in a neural network using psychophysical functions and the maximum entropy formalism

Experimental parameter studies for the CMAC neural network

A local-minima-free neural network approach to building A/D converters and associative adders

Neural networks that learn state space trajectories by 'Hebbian' rule

Backtracking dynamics for a Hopfield-style network

Topological analysis of infinite learning automata. II. Training dynamics

A complete neural network approach to solving a class of combinatorial problems

A rigorous result about the off-line learning approximation

A pulse transmission neural network architecture that recognizes patterns and temporally integrates

On structure and feedback in automata networks

Integration and differentiation in dynamic recurrent networks

Computer aided investigations of artificial neural systems

Measuring the effects of normalizing weight vectors on the self-organizing map

Dynamic properties of an asymmetrical non-stationary neural net

Effects of limited precision weight values on the accuracy of feedforward networks

Asynchronous learning dynamics in massively parallel recurrent neural networks

The anchored node backpropagation network

A neural network implementation of adaptive BAM

Fault tolerance and robustness in neural networks

A mapping approach for designing neural sub-nets

Parallel methods for implementations of neural networks

Self organization of secondary values on a neural automaton

A novel recursive partitioning criterion

A robust diagnosis system based on neural networks

The use of recursively generated iterated structures to constrained neural network architectures

A fuzzy neural model for target recognition

Tabu learning: a neural network search method for solving nonconvex optimization problems

ANNECS: a neural network compiler and simulator

Synthesis of three-layer perceptrons for parity functions

Short term memory for bipolar temporal patterns

Some practical issues concerning the gamma neural net

Mapping neural network models onto transputers

Randomly connected neural nets

The multi level environmental neural network and hardware

Analogical reasoning by neural network

The practical use of artificial networks: an investigation using Taylor series expansions of the network equations

Artificial neural systems for geometric and non-geometric combinatorial optimization problems

Does the superior colliculus not encode the motor error? A new model of the saccadic system

A neuro-controller with learning and adaptation

Robot kinematics computations using GMDH learning strategy

Identification and decentralized adaptive control of robotic manipulators using dynamical neural networks

Dynamic control of a six degree-of-freedom robot manipulator using neural networks

Hierarchical hybrid neuromorphic control system for robotic manipulator

Neuromorphic sensing and control for robotic manipulator-position, force and impact control

Conditioned response training of robots using Adaptrode-based neural networks

Neural network robotic control of unknown mass payloads

A hierarchy of self-organized multiresolution artificial neural networks for robotic control

Control of an inverted pendulum by a neural network with self-supervised learning

Adaptive control in nonlinear dynamic systems with inherent delays

Neural networks for learning inverse kinematics of redundant manipulators

Application of multi-layered feedforward neural networks in digital vibration control

A motion planning strategy and its neural network implementation for an articulated two-link arm with scissor hand system

Determining maximum traffic flow using backpropagation

A hybrid framework for robot planning and control

Speech synthesis of phonemic triplets through a neural network-controlled formant synthesizer

Phonemes recognition of Japanese vowels on a power spectrum using neural network with backpropagation

Neural network architectures for systolic arrays

Volume i - 1991

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

A robust learning algorithm

Content Provider	IEEE Xplore Digital Library
Author	White, M.W. Harper, J.S.
Copyright Year	1991
Description	Author affiliation: Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA (White, M.W.; Harper, J.S.)
Abstract	Summary form only given, as follows. A strategy for improved generalization when the training set is small and noisy is considered. A modified back-propagation algorithm sequentially searches a hypothesis space in a highly controlled manner. The search begins with robust linear and near-linear models and then gradually expands to more complex nonlinear models. The algorithm constrains the search process so that only models that are relatively well supported by the evidence (i.e., training examples) are tested. In contrast, standard back-propagation does not control the search process as accurately. Although the algorithm has been tested only on small problems, its performance is clearly superior to that of the back-propagation algorithm. The proposed strategy can also be applied to other learning algorithms.
File Size	46556
File Format	PDF
ISBN	0780301641
DOI	10.1109/IJCNN.1991.155613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Backpropagation algorithms Testing
Content Type	Text
Resource Type	Article

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