Neural networks algorithms, applications, and programming techniques (Record no. 4081)

MARC details
000 -LEADER
fixed length control field 02329nam a2200181 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788131708088
040 ## - CATALOGING SOURCE
Transcribing agency CUS
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number FRE/N
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Freeman, James A.
245 ## - TITLE STATEMENT
Title Neural networks algorithms, applications, and programming techniques
Statement of responsibility, etc. James A. Freeman and David M. Skapura
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Delhi:
Name of publisher, distributor, etc. Pearson India,
Date of publication, distribution, etc. 2013.
300 ## - PHYSICAL DESCRIPTION
Extent 415 p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Include bibliography
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1<br/>Introduction to ANS Technology<br/>1.1 Elementary Neurophysiology 22<br/>From Neurons to ANS 31<br/>ANS Simulation 44<br/>Chapter 2 .<br/>Adallne and Madaline 59<br/>2.1 Review of Signal Processing 59<br/>Adaline and the Adaptive Linear Combiner 69<br/>Applications of Adaptive Signal Processing 82<br/>The Madaline 86<br/>Simulating the Adaline 93<br/>Chapter 3<br/>Backpropagatlon 103<br/>3.1 The Backpropagation Network 103<br/>The Generalized Delta Rule 107<br/>Practical Considerations 117<br/>BPN Applications 120<br/>The Backpropagation Simulator 128<br/>Chapter 4<br/>The BAM and the Hopfield Memory 141<br/>4.1 Associative-Memory Definitions 142 ' ; (Moqn<br/>4.2 The BAM 145 i ft.wwo .<br/>4.3 The Hopfield Memory 155<br/>4.4 Simulating the BAM 170<br/>Chapter 5<br/>Simulated Annealing 183<br/>5.1 Information Theory and Statistical Mechanics 185<br/>5.2 The Boltzmann Machine 193<br/>5.3 The Boltzmann Simulator 203<br/>5.4 Using the Boitzmann Simulator 221<br/>Chapter 6<br/>The Counterpropagation Network 227<br/>6.1 CPN Building Blocks 229<br/>6.2 CPN Data Processing 249<br/>6.3 An Image-Classification Example 258<br/>6.4 The CPN Simulator 261<br/>Chapter 7<br/>Self-Organizing Maps 277<br/>7.1 SOM Data Processing 279<br/>7.2 Applications of Self-Organizing Maps 288<br/>7.3 Simulating the SOM 293<br/>Chapter 8<br/>Adaptive Resonance Theory 305<br/>8.1 ART Network Description 307<br/>8.2 ART1 312 _ ,<br/>8.3 ART2 330 _ uyio<br/>8.4 The ART1 Simulator 341 .<br/>8.5 ART2 Simulation 350<br/>Chapter 9<br/>Spatiotemporal Pattern Classification 355<br/>9.1 The Formal Avalanche 356<br/>9.2 Architectures of Spatiotemporal Networks (STNS) 359<br/>9.3 The Sequential Competitive Avalanche Field 369<br/>9.4 Applications of STNS 377<br/>9.5 StN Simulation 378<br/>Chapter TO<br/>The Neocognitron 387<br/>10.1 Neocognitron Architecture 390<br/>10.2 Neocognitron Data Processing 395<br/>10.3 Performance of the Neocognitron 403<br/>10.4 Addition of Lateral Inhibition and Feedback to the<br/>Neocognitron 404<br/>
650 ## - SUBJECT
Keyword Neural networks
650 ## - SUBJECT
Keyword Computer programming techniques
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type GN Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Accession number Date last seen Date last checked out Koha item type
        Central Library, Sikkim University Central Library, Sikkim University General Book Section 03/07/2016 006.3 FRE/N P35907 14/07/2023 05/07/2023 General Books
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