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C++ neural networks fuzzy logic

By: Contributor(s): Material type: TextTextPublication details: Nueva York : MIS Press, 1993Edition: 1st edDescription: xviii, 408 p. : il. ; 25 cmISBN:
  • 155828298x
Subject(s):
Contents:
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.
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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.

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