000 02329nam a2200181 4500
020 _a9788131708088
040 _cCUS
082 _a006.3
_bFRE/N
100 _aFreeman, James A.
_915719
245 _aNeural networks algorithms, applications, and programming techniques
_cJames A. Freeman and David M. Skapura
260 _aNew Delhi:
_bPearson India,
_c2013.
300 _a415 p.
504 _aInclude bibliography
505 _aChapter 1 Introduction to ANS Technology 1.1 Elementary Neurophysiology 22 From Neurons to ANS 31 ANS Simulation 44 Chapter 2 . Adallne and Madaline 59 2.1 Review of Signal Processing 59 Adaline and the Adaptive Linear Combiner 69 Applications of Adaptive Signal Processing 82 The Madaline 86 Simulating the Adaline 93 Chapter 3 Backpropagatlon 103 3.1 The Backpropagation Network 103 The Generalized Delta Rule 107 Practical Considerations 117 BPN Applications 120 The Backpropagation Simulator 128 Chapter 4 The BAM and the Hopfield Memory 141 4.1 Associative-Memory Definitions 142 ' ; (Moqn 4.2 The BAM 145 i ft.wwo . 4.3 The Hopfield Memory 155 4.4 Simulating the BAM 170 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 Boitzmann Simulator 221 Chapter 6 The Counterpropagation Network 227 6.1 CPN Building Blocks 229 6.2 CPN Data Processing 249 6.3 An Image-Classification Example 258 6.4 The CPN Simulator 261 Chapter 7 Self-Organizing Maps 277 7.1 SOM Data Processing 279 7.2 Applications of Self-Organizing Maps 288 7.3 Simulating the SOM 293 Chapter 8 Adaptive Resonance Theory 305 8.1 ART Network Description 307 8.2 ART1 312 _ , 8.3 ART2 330 _ uyio 8.4 The ART1 Simulator 341 . 8.5 ART2 Simulation 350 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 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
650 _aNeural networks
_915720
650 _aComputer programming techniques
_915721
942 _cL2C2
_02
999 _c4081
_d4081