Constructing fuzzy model by self-organizing counterpropagation network

  title={Constructing fuzzy model by self-organizing counterpropagation network},
  author={Junhong Nie},
  journal={IEEE Trans. Systems, Man, and Cybernetics},
This paper describes a general and systematic approach to constructing a multivariable fuzzy model from numerical data through a self-organizing counterpropagation network (SOCPN). Two self-organizing algorithms USOCPN and SSOCPN, being unsupervised and supervised respectively, are introduced. SOCPN can be employed in two ways. In the first place, it can be used as a knowledge extractor by which a set of rules are generated from the available numerical data set. The generated rule-base is then… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 48 extracted citations


Publications referenced by this paper.
Showing 1-8 of 8 references

Application of fuzzy algorithms for control of simple dynamic plant

  • E. H. Mamdani
  • Proc . IEE
  • 1992

An identification algorithm in fuzzy relational systems

  • J. J. Kruger
  • Fuzzy Sets and Systems
  • 1984

The evaluation of fuzzy model derived from experimental data

  • Y. Z. Lu
  • Fuuy Sets and Systems
  • 1980

Erne Series Analysis

  • J. E. Box, G. M. Jenkins
  • Forecasting and Control. San Francisco: Holden…
  • 1970
2 Excerpts

New fuzzy learning model with recursive estimation for dynamic systems

  • S. Grossberg
  • Fuzzy Sets and Systems

Similar Papers

Loading similar papers…