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A fuzzy model based on support vector regression (SVR) and particle swarm optimization (PSO) for the property prediction of heat treatment process of alloy steels is presented in this paper. First, a SVR model is built and the parameters of SVR are optimized by using the grid optimization algorithm, a set of equivalent fuzzy IF-THEN rules is generated from the obtained support vectors, then PSO is...
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