000 02449nam a2200145 4500
020 _a9788131708088 (pb)
040 _cCUS
082 _a006.3
_bFRE/N
100 _aFreeman, James A.
245 _aNeural networks: algorithms, applications and programming techniques /
_cJames A. Freeman and David m. Skapura
260 _aUttar Pradesh :
_bPearson ,
_cc1991.
300 _a415 p.
_bill. ;
505 _aChapter 1 Introduction to ANS Technology 1.1 Elementary Neurophysiology's 22 1.2 From Neurons to ANS 31 1.3 ANS Simulation 44 Bibliography 55 Chapter 2 Adaline and Madaline 59 2.1 Review of Signal Processing 59 2.2 Adaline and the Adaptive Linear Combiner 69 2.3 Applications of Adaptive Signal Processing 82 2.4 The Madaline 86 2.5 Simulating the Adaline 93 Bibliography 100 Chapter 3 Backpropagatlon 103 3.1 The Backpropagation Network 103 3.2 The Generalized Delta Rule 107 3.3 Practical Considerations 117 3.4 BPN Applications 120 3.5 The Backpropagation Simulator 128 Bibliography 138 Chapter 4 4.1 Associative-Memory Definitions 142 i S teXiq 4.2 The BAM 145 > Uim 4.3 The Hopfield Memory 155 4.4 Simulating the BAM 170 Bibliography 181 Chapter 5 Simulated Annealing 183 5.1 Information Theory and Statistical Mechanics 185 5.2 The Boltzmann Machine 193 5.3 The Boltzmann Simulator 203 5.4 Using the Boltzmann Simulator 221 Bibliography 226 ^^ Chapter 6 The Counterpropagation Network 227 6.1 CRN Building Blocks 229 6.2 CRN Data Rrocessmg 249 6.3 An Image-Classification Example 258 6.4 The CRN Simulator 261 Bibliography 276 Chapter 7 Self-Organizing Maps 277 7.1 SOM Data Rrocessing 279 7.2 Applications of Self-Organizing Maps 288 7.3 Simulating the SOM 293 Bibliography 303 Chapter 8 Adaptive Resonance Theory 305 8.1 ART Network Description 307 8.2 ART1 312 8.3 ART2 330 A 8.4 The ART1 Simulator 341 . 8.5 ART2 Simulation 350 Bibliography 352 Chapter 9 Spatiotemporal Pattern Classification 355 9.1 The Formal Avalanche 356 9.2 Architectures of Spatiotemporal Networks (STNS) 359 9.3 The Sequential Competitive Avalanche Field 369 9.4 Applications of STNS 377 9.5 STN Simulation 378 Bibliography 385 Chapter TO The Neocognitron 387 10.1 Neocognitron Architecture 390 10.2 Neocognitron Data Processing 395 10.3 Performance of the Neocognitron 403 10.4 Addition of Lateral Inhibition and Feedback to the Neocognitron 404 Bibliography 407
942 _cL2C2
999 _c3517
_d3517