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Fundamentals of the New Artificial Intelligence

Neural, Evolutionary, Fuzzy and More

By Toshinori Munakata

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  • ISBN13: 978-1-8462-8838-8
  • 272 Pages
  • User Level: Students
  • Publication Date: January 1, 2008
  • Available eBook Formats: PDF
Full Description
This significantly updated 2nd edition thoroughly covers the most essential & widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, & chaos. The exposition reveals the core principles, concepts, & technologies in a concise & accessible, easy-to-understand manner, & as a result, prerequisites are minimal. Topics & features: Retains the well-received features of the first edition, yet clarifies & expands on the topic Features completely new material on simulated annealing, Boltzmann machines, & extended fuzzy if-then rules tables [NEW] Emphasizes the real-world applications derived from this important area of computer science Provides easy-to-comprehend descriptions & algorithms Integrates all material, yet allows each chapter to be used or studied independently This invaluable text & reference is ideal for upper-level undergraduates & graduates studying artificial intelligence, soft computing, neural networks, evolutionary computing, & fuzzy systems.
Table of Contents

Table of Contents

  1. Introduction.
  2. Neural Networks: Fundamentals and the Backpropagation Model.
  3. Neural Networks: Other Models.
  4. Genetic Algorithms and Evolutionary Computing.
  5. Fuzzy Systems.
  6. Rough Sets.
  7. Chaos

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