Advanced Information Processing

Adaptive Modelling, Estimation and Fusion from Data

A Neurofuzzy Approach

Authors: Harris, Chris, Hong, Xia, Gan, Qiang

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eBook $149.00
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  • ISBN 978-3-642-18242-6
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Hardcover $189.00
price for USA
  • ISBN 978-3-540-42686-8
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  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
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  • ISBN 978-3-642-62119-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. 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 and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion.

Reviews

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)


Table of contents (10 chapters)

  • An introduction to modelling and learning algorithms

    Harris, Chris (et al.)

    Pages 1-23

  • Basic concepts of data-based modelling

    Harris, Chris (et al.)

    Pages 25-52

  • Learning laws for linear-in-the-parameters networks

    Harris, Chris (et al.)

    Pages 53-70

  • Fuzzy and neurofuzzy modelling

    Harris, Chris (et al.)

    Pages 71-102

  • Parsimonious neurofuzzy modelling

    Harris, Chris (et al.)

    Pages 103-151

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-18242-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-3-540-42686-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-3-642-62119-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Adaptive Modelling, Estimation and Fusion from Data
Book Subtitle
A Neurofuzzy Approach
Authors
Series Title
Advanced Information Processing
Copyright
2002
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-18242-6
DOI
10.1007/978-3-642-18242-6
Hardcover ISBN
978-3-540-42686-8
Softcover ISBN
978-3-642-62119-2
Edition Number
1
Number of Pages
XVI, 323
Topics