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Neural computing : an introduction

Author: R Beale; T Jackson
Publisher: Bristol, U.K. ; Philadelphia, Pa. : Institute of Physics Pub., 1991, ©1990
Edition/Format:   Print book : EnglishView all editions and formats

An explanation of the basic concepts of neural computation, this book is about the whole field of neural networks and covers the major approaches and their results. It aims to develop concepts and  Read more...


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Document Type: Book
All Authors / Contributors: R Beale; T Jackson
ISBN: 0852742622 9780852742624
OCLC Number: 36369518
Notes: "Reprinted with corrections, 1991."
Description: xv, 240 pages : illustrations ; 24 cm
Contents: INTRODUCTIONHumans and computersThe structure of the brainLearning in machinesThe differencesSummaryPATTERN RECOGNITIONIntroductionPattern recognition in perspectivePattern recognition-a definitionFeature vectors and feature spaceDiscriminant functionsClassification techniquesLinear classifiersStatistical techniquesPattern recognition-a summaryTHE BASIC NEURONIntroductionModeling the single neuronLearning in simple neuronsThe perceptron: a vectorial perspectiveThe perceptron learning rule: proofLimitations of perceptronsThe end of the line?SummaryTHE MULTILAYER PERCEPTRONIntroductionAltering the perceptron modelThe new modelThe new learning ruleThe multilayer perceptron algorithmThe XOR problem revisitedVisualizing network behaviorMultilayer perceptrons as classifiersGeneralizationFault toleranceLearning difficultiesRadial basis functionsApplicationsSummary KOHONEN SELF-ORGANIZING NETWORKSIntroductionThe Kohonen algorithmWeight trainingNeighborhoodsReducing the neighborhoodLearning vector quantization (LVQ)The phonetic typewriterSummaryHOPFIELD NETWORKSIntroductionThe Hopfield modelThe energy landscapeThe Boltzmann machineConstraint satisfactionSummary ADAPTIVE RESONANCE THEORYIntroductionAdaptive resonance theory (ART)Architecture and operationART algorithmTraining the ART networkClassificationConclusionSummary of ART ASSOCIATIVE MEMORYStandard computer memoryImplementing associative memoryImplementation in RAMsRAMs and N-tuplingWillshaw's associative netThe ADAM systemKanerva's sparse distributed memoryBidirectional associative memoriesConclusionSummary INTO THE LOOKING GLASSOverviewHardware and software implementationsOptical computingOptical computing and neural networksINDEX
Responsibility: R. Beale and T. Jackson.


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"It is clear that any introductory book must explain what the leaders of the current revival have done. This is well done by Beale and Jackson." Igor Aleksander, Imperial College of Science, Read more...

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