| Neuro-Computers:Optimization Based Learning | |
| Authors: K. K. Shukla | ISBN:
978-81-7319-382-8 |
About the book Neuro-computers help solve brain-like techniques which are hard to be solved by conventional architectures. l Several case studies using real-world data sets as a benchmark provided as a learning paradigm for neuro-computer designers l New genetic opertators introduced which consistently outperform conventional crossover and mutation based genetic algorithms | |
Key Features |
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Table of content 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. Audience Senior Graduate students of Computer Science and Engineering. | |
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