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Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence / Jyh-Shing Roger Jang; Chuen-Tsai Sun; Eiji Mizutani
Material type:
TextPublication details: New Delhi; Prentice Hall, 2009.Description: xxvi, 614 pages : illustrations ; 24 cmISBN: - 9788120328617
- 006.3 JAN
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Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. | Computer Science | 006.3 JAN (Browse shelf(Opens below)) | Available | 13220 | ||
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Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. | Computer Science | 006.3 JAN (Browse shelf(Opens below)) | Available | 13221 | ||
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Books
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Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. | Computer Science | 006.3 JAN (Browse shelf(Opens below)) | Available | 13222 | ||
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Books
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Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. | Computer Science | 006.3 JAN (Browse shelf(Opens below)) | Available | 13223 | ||
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Books
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Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. | Computer Science | 006.3 JAN (Browse shelf(Opens below)) | Available | 13224 |
Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put
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