By Topic

A modified dynamic non-singleton fuzzy logic system for nonlinear modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Menhaj, M.B. ; Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran ; Suratgar, A.A. ; Karrari, M.

This paper presents a modified version of dynamic non-singleton fuzzy logic systems (NSFLS). Mouzourise and Mendel (1997) originally introduced the NSFLS technique. This technique suffers from the lack of good convergence property. To remedy this and to improve the convergence rate of the NSFLS method, we introduce a fuzzy based algorithm. In order to show how this technique outperforms the dynamic NSFLS, gas turbine has been selected as a case study. Both methods, the NSFLS with the original learning algorithm and with the proposed technique, were applied to this problem and simulation results are very promising

Published in:

Neural Networks, 1999. IJCNN '99. International Joint Conference on  (Volume:6 )

Date of Conference:

Jul 1999