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Introduction to neural networks, fuzzy logic & genetic algorithms: theory & applications/ Sudarshan K. Valluru, T. Nageswara Rao

By: Contributor(s): Material type: TextTextPublication details: Ahmedabad: Jaico Pub. House, 2011Description: xvi, 232 pages: diagrams, tables; 24 cmISBN:
  • 9788184950793
Subject(s): DDC classification:
  • 23rd 006.32 V195
Contents:
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
Summary: 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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Holdings
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
Total holds: 0

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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