Naturally Intelligent Systems

Overview

For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. Now there is a new entry in this arena—neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks, clearly explaining the underlying concepts of key neural network designs, how they are trained, and why they work. Throughout, the authors present actual applications that illustrate neural networks' utility in the new world.

Table of Contents

  1. Complete Contents
  2. Acknowledgments
  3. 1. Natural Intelligence
  4. 2. Building Blocks of Neural Networks
  5. 3. Neural Networks and Other System
  6. 4. Associative Memories
  7. 5. Crossbar Associative Memories
  8. 6. Adaptive Filter Associative Memories
  9. 7. Competitive Filter Associative Memories
  10. 8. Learning
  11. 9. Hebbian Learning
  12. 10. Classical, Conditioning
  13. 11. Learning Sequences of Patterns
  14. 12. Autonomous Learning
  15. 13. Hierarchical Systems
  16. 14. Backpropagation Networks
  17. 15. Hybrid Networks
  18. 16. Adaptive Resonance Networks
  19. 17. Neural Network Implementations
  20. 18. Neural Network
  21. 19. A Look Ahead
  22. Glossary
  23. Index