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Home > Computing and Information Technology > Computer science > Artificial intelligence > Neural networks and fuzzy systems > Neuro-computers: Optimization Based Learning
Neuro-computers: Optimization Based Learning

Neuro-computers: Optimization Based Learning


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About the Book

Brain-like problem solving techniques used by neuro-computers are suited to several problems that are hard for conventional architectures. This book, an intermediate level exposition of the exciting world of neuro-computers, presents several case studies using as a benchmark real-world sensor data sets to demonstrate how the new learning paradigm can be used by a neuro-computer designer to evolve solutions that have better fault-tolerance and generalization properties. New genetic operators are introduced that consistently outperform the conventional crossover and mutation based genetic algorithms. Essentially self-contained, this book would be a valuable addition for all engineering students and can be the starting point for new research in this area.

Table of Contents:
Foreword / Preface / Notations and Symbols / Introduction/ Historical Background / Composite Optimization Strategy / The Search for Global Solution / Generalization and Fault Tolerance / Genetic Training in Neuro-Computers / Simulation and Case Studies / Epilogue / Bibliography / Index

About the Author :
K. K. Shukla.: Department of Computer Engineering Institute of Technology, Banaras Hindu University, Varanasi


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Product Details
  • ISBN-13: 9781842650615
  • Publisher: Alpha Science International Ltd
  • Publisher Imprint: Alpha Science International Ltd
  • Height: 240 mm
  • Sub Title: Optimization Based Learning
  • Width: 160 mm
  • ISBN-10: 1842650610
  • Publisher Date: 16 Jul 2001
  • Binding: Hardback
  • Language: English
  • Weight: 450 gr


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