Introduction to neural networks, fuzzy logic & genetic algorithms: theory & applications/ Sudarshan K. Valluru, T. Nageswara Rao
Material type:
- 9788184950793
- 23rd 006.32 V195
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 006.32 V195 (Browse shelf(Opens below)) | Available | C27737 |
Includes bibliography
Introduction to Neural Networks -- Essentials of Artificial Neural Networks -- Single Layer Feed-Forward Neural Networks -- Multilayer Feed Forward Neural Networks -- Associative Memories -- Classical and Fuzzy Sets -- Fuzzy Logic System Components -- Applications of ANNs and Fuzzy Logic -- Non-Traditional Optimized Algorithms-Genetic Algorithm
This textbook explains Neural Networks, Fuzzy Logic and Genetic Algorithms from a unified engineering perspective. It combines the three techniques to minimize their weaknesses and enhance their strengths. The authors have discussed the fundamental ideas and practical methods of the three techniques by using numerous examples. The book will be an ideal text for the students of Computer Science, Information Technology, Electrical and Electronics & Communication Engineering, studying Soft Computing at the undergraduate level.
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