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Neural Networks: Algorithms, Applications, and Programming Techniques

Neural Networks: Algorithms, Applications, and Programming Techniques

Author(s):
  • James A. Freeman
  • David M. Skapura
    • Author: James A. Freeman
    • ISBN:9788131708088
    • 10 Digit ISBN:813170808X
    • Price:Rs. 819.00
    • Pages:416
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    This Book provides a solid and practical introductions to neural networks—computational models inspired by the brain. The authors explain the basic concepts and technology underlying such models, then show how these models can be applied to the solution of diverse problems in science and engineering. The book's aim is not to explore every corner of current and future research, but to focus on what works and to present techniques useful for solving real problems.

    Table of Content

    1. Introduction to ANS Technology
    2. Adaline and Madaline
    3. Backpropagation
    4. The BAM and the Hopfield Memory
    5. Simulated Annealing
    6. The Counterpropagation Network
    7. Self-Organizing Maps
    8. Adaptive Resonance Theory
    9. Spatiotemporal Pattern Classification
    10. The Neocognition

    Salient Features

    • A firm understanding of the operation of the specific networks presented
    • The ability to program simulations of those networks successfully
    • The ability to apply neural networks to real engineering and scientific problems