12. Genetic Tolerance Fuzzy Neural Networks

  1. Witold Pedrycz1,2

Published Online: 27 JAN 2005

DOI: 10.1002/0471708607.ch12

Knowledge-Based Clustering: From Data to Information Granules

Knowledge-Based Clustering: From Data to Information Granules

How to Cite

Pedrycz, W. (2005) Genetic Tolerance Fuzzy Neural Networks, in Knowledge-Based Clustering: From Data to Information Granules, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471708607.ch12

Author Information

  1. 1

    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

  2. 2

    Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Publication History

  1. Published Online: 27 JAN 2005
  2. Published Print: 7 JAN 2005

ISBN Information

Print ISBN: 9780471469667

Online ISBN: 9780471708605

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Keywords:

  • threshold and tolerance logic neurons;
  • logic network;
  • genetic optimization;
  • hyperbox structure of clusters

Summary

It is discussed how information granules (clusters) are build through the design of logic networks endowed with threshold and tolerance neurons. The optimization process consists of two main phases such as (a) initial location of numeric prototypes followed by (b) refinement and genetic optimization of the network.