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- W2126468475 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." @default.
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- W2126468475 date "1999-01-01" @default.
- W2126468475 modified "2023-09-24" @default.
- W2126468475 title "Hybrid fuzzy modelling using simulated annealing and application to materials property prediction" @default.
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- W2126468475 doi "https://doi.org/10.1109/ipmm.1999.792512" @default.
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