Artificial neural networks : theory and applications / Dan W. Patterson.
Material type: TextPublication details: Singapore ; London : Prentice Hall, 1996.ISBN:- 0132953536
- 006.3 20
Item type | Home library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Two Week Loan | College Lane Learning Resources Centre Main Shelves | 006.3 PAT (Browse shelf(Opens below)) | Available | 4403676524 | |||
Two Week Loan | College Lane Learning Resources Centre Main Shelves | 006.3 PAT (Browse shelf(Opens below)) | Available | 4404486995 |
Enhanced descriptions from Syndetics:
Bibliography: p453-464. - Includes index.
1. Introduction to Artificial Neural Networks -- 2. Characteristics of Artificial Networks -- 3. Review of Mathematical and Statistical Concepts -- 4. Early Neural Network Architectures -- 5. Associative Memory Networks -- 6. Multilayer Feedforward Neural Networks and Backpropagation -- 7. Capabilities and Limitations of Multilayer Feedforward Networks -- 8. Applications of Multilayer Feedforward Networks with BP -- 9. Dynamic Recurrent Networks -- 10. Boltzmann Machines and Simulated Annealing -- 11. Self-Growing Network Architectures -- 12. The Neocognitron Network -- 13. Stochastic-Based Networks -- 14. Self-Organizing Feature Maps and Vector Quantization -- 15. Adaptive Resonance Theory -- 16. Neuro-Fuzzy Systems, Soft Computing, Genetic Algorithms and Neuro-Logic Networks.