Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

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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

By: Contributor(s): Material type: TextTextPublication details: New Delhi; Prentice Hall, 2009.Description: xxvi, 614 pages : illustrations ; 24 cmISBN:
  • 9788120328617
Subject(s): DDC classification:
  • 006.3 JAN
Summary: 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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Item type Current library Collection Call number Status Date due Barcode
Books Books Prof. Ram Dayal Munda Central Library Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 13220
Books Books Prof. Ram Dayal Munda Central Library Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 13221
Books Books Prof. Ram Dayal Munda Central Library Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 13222
Books Books Prof. Ram Dayal Munda Central Library Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 13223
Books Books Prof. Ram Dayal Munda Central Library 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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