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FuzzDemo: MATLAB demo of parameterizing membership functions and learning in fuzzy inference systems.

This directory contains MATLAB *.m files (V4.0) for demonstrating several ways of parameterizing membership functions (MF) and learning in fuzzy inference systems (FIS). Specifically, it includes (a) manual tuning of MF's (b) animation of MF's to show the effects of different parameters (c) animation of MF's and the overall input/output behavior of FIS. (d) learning (parameter identification) in FIS using 1. Simplex method 2. Simplex method + least-squares method This is a prototype suitable for educational purposes.
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Version: 1-SEP-93 Requires: MATLAB v4.0 Copying: Copyright (c) 1993 Jyh-Shing Roger Jang, U. C. Berkeley Use, copying, modification, and distribution permitted. CD-ROM: Prime Time Freeware for AI, Issue 1-1 Author(s): Jyh-Shing [Roger] Jang 571 Evans, Dept. of EECS University of California Berkeley, CA 94720 Tel: 510-642-5029 Fax: 510-642-5775 Keywords: Authors!Jang, Demo Version, FuzzDemo, Fuzzy Inference Systems, Fuzzy Logic, MATLAB, Membership Functions References: [1] "ANFIS: Adaptive-Network-based Fuzzy Inference Systems", IEEE Trans. on Systems, Man and Cybernetics, May 1993. [2] "Functional Equivalence between Radial Basis Function Networks and Fuzzy Inference Systems", Trans. on NN, Jan. 1993. [3] "Self-Learning Fuzzy Controllers based on Temporal Back-Propagation", Trans. on NN, Sept 1992.
Last Web update on Mon Feb 13 10:22:17 1995