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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: Noida: Pearson, 2015.Description: xxvi, 614 pISBN:
  • 9789332549883
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, IGNTU Amarkantak M.P. General Stacks Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 67072
Books Books Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. General Stacks Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 67073
Books Books Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. General Stacks Computer Science 006.3 JAN (Browse shelf(Opens below)) Available 79786


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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