By Topic

Hybrid fuzzy modelling using simulated annealing and application to materials property prediction

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

2 Author(s)
Min-You Chen ; Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK ; Linkens, D.A.

Proposes a hybrid fuzzy modelling approach using a self-organising network and simulated annealing algorithm for self-constructing and optimising fuzzy rule-based models. The proposed fuzzy modelling procedure consists of two stages. Firstly, a fuzzy competitive neural network is exploited as a data pre-processor to extract a number of clusters which can be viewed as an initial fuzzy model from engineering data. This step is used to perform fuzzy classification with the objective of obtaining a self-generating fuzzy rule base. Secondly, simulated annealing (SA), a combinatorial optimisation technique, is used to optimise the fuzzy membership functions. The application of this approach to the mechanical property prediction for C-Mn-Nb steels is given as an illustrative example

Published in:

Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on  (Volume:1 )

Date of Conference:

Jul 1999