by Chris Harris (Author), Chris Harris (Author), Xia Hong (Author), Qiang Gan (Author)
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.
Format: Hardcover
Pages: 340
Edition: 2002
Publisher: Springer
Published: 13 May 2002
ISBN 10: 3540426868
ISBN 13: 9783540426868
Book Overview: Springer Book Archives
From the reviews:
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)
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