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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. The Subject of Artificial Intelligence. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Jyh-Shing Roger Jang , Chuen-Tsai Sun , Eiji Mizutani. Currently, a shift from traditional statistical PCA- / PLS-based techniques to more advanced approaches, like Artificial Neural Networks, kernel-based methods, Gaussian processes, Neuro-Fuzzy Systems can currently be observed in the field of soft sensor development. Applications of Artificial Intelligence machine without learning capability cannot possess perception. (ed.) 2000 M.Dekker Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence Jang J.-S.R., Sun C.-T., Mizutani E. Eduardo Arbex Aluno: Leandro Duarte Campos - Matrícula C680005 - 7º Período – 2011. Jyh-Shing Roger Jang, Chuen-Tsai Sun & Eiji Mizutani, “Neuro Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence”, Prentice Hall of India, 2004. Neuro-Fuzzy and Soft Computing A Computational Approach to Learning and Machine Intelligence - Jyh-Shing Roger Jang Simulating Continuous Fuzzy Systems - James J. Computational Methods in Surface and Colloid Science Borowko M. Defining Artificial Intelligence; General Problem Solving Approaches in AI; The Disciplines of Artificial Intelligence. The rational action of an agent (actor), thus, calls for possession of all the elementary characteristics of intelligence. Some recent publications also demonstrate the increasing popularity of computational intelligence and machine learning concepts like ensemble methods, local learning and meta-learning in soft sensors. نوشته شده توسط مهدی لبافی در چهارشنبه سوم فروردین 1390 ساعت 18:49 | لینک ثابت |. الگوریتم ژنتیک - Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence - وبلاگی برای من. Introduction to Artificial Intelligence. Neuro-Fuzzy Modeling and Gentle Computing locations distinct emphasis on the theoretical facets of covered methodologies, as effectively as empirical observations and verifications of a variety of applications in apply.