Artificial Neural Networks – ICANN 96

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6th International Conference, Bochum, Germany, July 16 – 19,1996.Proceedings, Lecture Notes in Computer Science 1112

ISBN:	3540615105
ISBN 13:	9783540615101
Herausgeber:	Christoph von der Malsburg/Werner von Seelen/Jan C Vorbrüggen et al
Verlag:	Springer Verlag GmbH
Umfang:	l, 926 S.
Erscheinungsdatum:	10.07.1996
Auflage:	1/1996
Produktform:	Kartoniert
Einband:	Kartoniert

InhaltsangabeApplication of Artificial Neural Networks in Particle Physics.- Evolutionary computation – History, status, and perspectives.- Temporal structure of cortical activity.- SEE-1 – A vision system for use in real world environments.- Towards integration of nerve cells and silicon devices.- Unifying perspectives on neuronal codes and processing.- Visual recognition based on coding in temporal cortex: Analysis of pattern configuration and generalisation across viewing conditions without mental rotation.- A novel encoding strategy for associative memory.- Autoassociative memory with high storage capacity.- Information efficiency of the associative net at arbitrary coding rates.- Efficient learning in sparsely connected Boltzmann machines.- Incorporating invariances in support vector learning machines.- Estimating the reliability of neural network classifications.- Bayesian inference of noise levels in regression.- Complexity reduction in probabilistic neural networks.- Asymptotic complexity of an RBF NN for correlated data representation.- Regularization by early stopping in single layer perceptron training.- Clustering in weight space of feedforward nets.- Learning curves of on-line and off-line training.- Learning structure with Many-Take-All networks.- Dynamic feature linking in stochastic networks with short range interactions.- Collective dynamics of a system of adaptive velocity channels.- Local linear model trees for on-line identification of time-variant nonlinear dynamic systems.- Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method.- Prediction of mixtures.- Learning dynamical systems produced by recurrent neural networks.- Purely local neural Principal Component and Independent Component Learning.- How fast can neuronal algorithms match patterns?.- An annealed ’neural gas‘ network for robust vector quantization.- Associative completion and investment learning using PSOMs.- GTM: A principled alternative to the Self-Organizing Map.- Creating term associations using a hierarchical ART architecture.- Architecture selection through statistical sensitivity analysis.- Regression by topological map: Application on real data.- Signal processing by neural networks to create „virtual“ sensors and model-based diagnostics.- Development of an advisory system based on a neural network for the operation of a coal fired power plant.- Blast furnace analysis with neural networks.- Diagnosis tools for telecommunication network traffic management.- Adaptive saccade control of a Binocular Head with Dynamic Cell Structures.- Learning fine motion by using the Hierarchical Extended Kohonen Map.- Subspace dimension selection and averaged learning subspace method in handwritten digit classification.- A dual route neural net approach to grapheme-to-phoneme conversion.- Separating EEG spike-clusters in epilepsy by a growing and splitting net.- Optimal texture feature selection for the co-occurrence map.- Comparison of view-based object recognition algorithms using realistic 3D models.- Color-calibration of a robot vision system using self-organizing feature maps.- Neural network model for maximum ozone concentration prediction.- Very large two-level SOM for the browsing of newsgroups.- Automatic Part-Of-Speech tagging of Thai corpus using neural networks.- Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network.- Two gradient descent algorithms for blind signal separation.- Classification rejection by prediction.- Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers.- A hybrid object recognition architecture.- Robot learning in analog neural hardware.- Visual gesture recognition by a modular neural system.- Tracking and learning graphs on image sequences of faces.- Neural network model recalling spatial maps.- Neural field dynamics for motion perception.- A

Artikelnummer: 7477259 Kategorie: Informatik

Beschreibung

Beschreibung

This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996. The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.