Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence ISBN  0132610663 Release Date  26 September 1996 Category  Artificial Intelligence Tags  fuzzy,   fuzzy logic,   neuro fuzzy,   neuro-fuzzy,   artificial intelligence,   soft computing,   machine learning,   learning,   neuro,   "soft computing",   machine,   fuzzy object,   intelligence,   neuro-fuzzy and soft computing,   0132610663,   computing,   neuro fuzzy system,   neuro fuzzy and soft computing,   parallel computing,   granular computing,   intel,   fuzz,   limin fu,   fuzzy clustering,   "fuzzy",   This book @Amazon  View Tools Google Search Web flazx.com

Description Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence. Other books on Artificial Intelligence Pattern Recognition Technologies and Applications: Recent Advances Automatic Speech Recognition on Mobile Devices and over Communication Networks (Advances in Pattern Recognition) Machine Learning in Document Analysis and Recognition (Studies in Computational Intelligence) Artificial Intelligence for Advanced Problem Solving Techniques 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence (Lecture Notes in Computer Science) Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science) Progress in Pattern Recognition, Image Analysis and Applications: 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007,Valpariso, Chile, November ... (Lecture Notes in Computer Science) Current Topics in Artificial Intelligence: 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November ... Papers (Lecture Notes in Computer Science) Expert Systems in Chemistry Research Toward Artificial Sapience: Principles and Methods for Wise Systems Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) Biologically Inspired Artificial Intelligence for Computer Games Character Recognition Systems: A Guide for Students and Practitioners Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications) Artificial Intelligence: A Systems Approach (w/CDROM)(Computer Science) (Engineering)(AI) (Engineering)