Title :
Hybrid fuzzy modelling using simulated annealing and application to materials property prediction
Author :
Chen, Min-You ; Linkens, D.A.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
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
Keywords :
fuzzy logic; fuzzy set theory; materials properties; pattern classification; self-organising feature maps; simulated annealing; C-Mn-Nb steels; combinatorial optimisation technique; data pre-processor; fuzzy classification; fuzzy competitive neural network; fuzzy membership functions; fuzzy rule-based models; hybrid fuzzy modelling; materials property prediction; self-organising network; Clustering algorithms; Data mining; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Modeling; Neural networks; Predictive models; Simulated annealing; Steel;
Conference_Titel :
Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-5489-3
DOI :
10.1109/IPMM.1999.792512
