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Paper   IPM / Cognitive Sciences / 7418
School of Cognitive Sciences
  Title:   Identification of a Nonlinear Industrial Process via Fuzzy Clustering
  Author(s): 
1.  B. Moshiri
2.  S. Chaychi Maleki
  Status:   Published
  Journal: LECT NOTES ARTIF INT
  No.:  1416
  Vol.:  1
  Year:  1998
  Pages:   768-775
  Editor:  768-775
  Supported by:  IPM
  Abstract:
This Paper presents the fuzzy logic approach to complex system modeling that is based on fuzzy clustering technique. As compared with other modeling methods, the proposed approach has the advantage of simplicity, flexibility, and high accuracy. Further, it is easy to use and may be handled by an automatic procedure. An industrial process example (i. e; Heat exchanger) is provided to illustrate the performance of the proposed approach

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