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Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach
     

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach

by Qiang Gan, Xia Hong, Chris Harris
 

This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are

Overview

This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.

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From the Publisher

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"This is an account of a major development by a research group in Southampton University on the extension of adaptive techniques to nonlinear and nonstationary environments. … There seems to be no doubt that this well-presented book is indispensable for anyone concerned with difficult nonlinear problems of control." (Alex M. Andrew, Robotica, Vol. 22, 2004)

"This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. … This book is aimed at researchers and scientists in time series modelling, empirical data modelling, knowledge discovery, data mining, and data fusion." (Nikolay Yakovlevich Tikhonenko, Zentralblatt MATH, Vol. 1005, 2003)

Product Details

ISBN-13:
9783642621192
Publisher:
Springer Berlin Heidelberg
Publication date:
01/28/2013
Series:
Advanced Information Processing Series
Edition description:
Softcover reprint of the original 1st ed. 2002
Pages:
323
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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