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Artificial neural networks : theory and applications / Dan W. Patterson.

By: Patterson, Dan W, 1930-Material type: TextTextPublication details: Singapore ; London : Prentice Hall, 1996. ISBN: 0132953536Subject(s): Neural networks (Computer science) | Artificial intelligenceDDC classification: 006.3
Contents:
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.
Holdings
Item type Home library Call number Status Date due Barcode Item holds
Two Week Loan Two Week Loan College Lane Learning Resources Centre
Main Shelves
006.3 PAT (Browse shelf(Opens below)) Available 4403676524
Two Week Loan Two Week Loan College Lane Learning Resources Centre
Main Shelves
006.3 PAT (Browse shelf(Opens below)) Available 4404486995
Total holds: 0

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.

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