Neural networks - a tutorial

1. A Structure of an Artificial Neural Network. 2. Applications of Neural Networks. 3. The Early Years. 4. The Hopfield Net. 5. Self Organizing Maps. 6. Backpropagation. 7. Learning Laws and Continued Taxonomy. 8. Adaptive Resonance Theory. 9. Bidirectional Associative Memory. 10. Variations on Neural Themes. 11. Fuzzy Theory. 12. Integrated Circuits. 13. Optical Neural Nets. 14. The Evolution of Intelligence. Appendix: Mathematical Notation. Bibliography. Index.