Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach / Edition 1

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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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Editorial Reviews

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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)

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Product Details

  • ISBN-13: 9783540426868
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 6/20/2002
  • Series: Advanced Information Processing Series
  • Edition description: 2002
  • Edition number: 1
  • Pages: 323
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.81 (d)

Table of Contents

1 An introduction to modelling and learning algorithms 1
2 Basic concepts of data-based modelling 25
3 Learning laws for linear-in-the parameters networks 53
4 Fuzzy and neurofuzzy modelling 71
5 Parsimonious neurofuzzy modelling 103
6 Local neurofuzzy modelling 153
7 Delaunay input space partitioning modelling 201
8 Neurofuzzy linearisation modelling for nonlinear state estimation 225
9 Multisensor data fusion using Kalman filters based on neurofuzzy linearisation 255
10 Support vector neurofuzzy models 281
References 307
Index 319
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