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Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence by Chuen-Tsai Sun, Eiji Mizutani, Jyh-Shing Roger Jang

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence Chuen-Tsai Sun, Eiji Mizutani, Jyh-Shing Roger Jang ebook
Format: djvu
Publisher: Prentice Hall
Page: 640
ISBN: 0132610663, 9780132610667

Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. However, the proper selection of these Because of the advantages of the artificial intelligence systems, many researchers studied to find the relationships between input and output parameters in EDM process by using soft computing techniques. Neuro-fuzzy and soft computing : a computational approach to Learning and Machine Intelligence. Eduardo Arbex Aluno: Leandro Duarte Campos - Matrícula C680005 - 7º Período – 2011. The achievement of EDM process is affected by many input parameters; therefore, the computational relations between the output responses and controllable input parameters must be known. Neuro-Fuzzy and Soft Computing. Posted on February 10, 2011 | Leave a comment. [1] Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (. Neuro – Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence Jang, Jyh-Shing Roger ; Sun, Chuen- A Text Book of Production Technology – II Khanna, O.P. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (Matlab Curriculum Series).