Adaptive Modelling, Estimation and Fusion from Data

A Neurofuzzy Approach

  • Chris Harris
  • Xia Hong
  • Qiang Gan

Part of the Advanced Information Processing book series (AIP)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Chris Harris, Xia Hong, Qiang Gan
    Pages 1-23
  3. Chris Harris, Xia Hong, Qiang Gan
    Pages 25-52
  4. Chris Harris, Xia Hong, Qiang Gan
    Pages 53-70
  5. Chris Harris, Xia Hong, Qiang Gan
    Pages 71-102
  6. Chris Harris, Xia Hong, Qiang Gan
    Pages 103-151
  7. Chris Harris, Xia Hong, Qiang Gan
    Pages 153-200
  8. Chris Harris, Xia Hong, Qiang Gan
    Pages 201-224
  9. Chris Harris, Xia Hong, Qiang Gan
    Pages 225-254
  10. Chris Harris, Xia Hong, Qiang Gan
    Pages 281-305
  11. Back Matter
    Pages 307-323

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.


algorithms data mining data modelling filtering fuzzy fuzzy logic knowledge discovery logic modeling

Authors and affiliations

  • Chris Harris
    • 1
  • Xia Hong
    • 1
  • Qiang Gan
    • 2
  1. 1.Department of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK
  2. 2.Department of Computer ScienceUniversity of EssexColchesterUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-62119-2
  • Online ISBN 978-3-642-18242-6
  • Buy this book on publisher's site
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