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Introduction to Artificial Neural Networks

Introduction to Artificial Neural Networks

Vikas Publishing
  • 9788125914259
  • 236 pages
  • Paperback
  • 6.25" x 9.5" inches
  • Book 395.00

 

This book on Artificial Neural Networks has its emphasis on clear concepts, ease of understanding and simple examples. Written for undergraduate students of the subject, the book presents a large variety of standard neural networks with architecture, algorithms and applications.

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1. Introduction, 2. Hebb Net, Adaline, Madaline and Perception, 3. Associative Memory, 4. Self-Organizing Maps: Topological Preserving Nets, 5. Backpropagation Network, 6. Adaptive Resonance Theory, 7. Special Networks, 8. Control Networks