C++ neural networks fuzzy logic
Material type:
TextPublication details: Nueva York : MIS Press, 1993Edition: 1st edDescription: xviii, 408 p. : il. ; 25 cmISBN: - 155828298x
| Item type | Home library | Call number | Status | Date due | Barcode | |
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Libro
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Biblioteca de la Facultad de Informática | I.5.1 RAO (Browse shelf(Opens below)) | Available | DIF-03668 |
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| I.5.1 NIE Neurocomputing | I.5.1 NIG Neural networks for pattern recognition | I.5.1 PAO Adaptive pattern recognition and neural networks | I.5.1 RAO C++ neural networks fuzzy logic | I.5.1 RIP Pattern recognition and neural networks | I.5.1 SKA Building neural networks | I.5.1 SKA Building neural networks |
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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