1. Introduction to neural nets.
2. C++ and object orientation
3. A look at fuzzy logic.
4. Constructing a neural network.
5. Interactions: a survey of neural network models.
6. Learning, self-organization, and resonance.
7. Backpropagation.
8. BAM: Bidirectional Associative Memory.
9. FAM: Fuzzy Associative Memory.
10. Adaptative Resonance Theory (ART).
11. The Kohonen self-organizing map.
12. Application to pattern recognition.
13. Backpropagation II.
14. Application to financial forecasting.
15. Application to Nonlinear optimization.
Appendix A. Compiling your programs.
Appendix B. Mathematical background.
Glossary.
References.
Index.