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- W2356727164 abstract "Hardenability prediction is very difficult in the steel refining process.Based on the idea that the accuracy of model can be significantly improved by combining several sub-models,a multiple support vector machine(MSVM) based hardenability prediction model is proposed.The factors offecting hardenability are analysised and the number of sub-model and the input variables of the sub-model are determined.In order to improve the precision and generalization capability of the prediction model,genetic algorithm(GA) is adopted to optimize the parameters of MSVM.The simulated results demonstrate the efficiency of the method." @default.
- W2356727164 created "2016-06-24" @default.
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- W2356727164 date "2010-01-01" @default.
- W2356727164 modified "2023-09-24" @default.
- W2356727164 title "Multi-SVM Based Prediction Model for Hardenability of Gear Steel" @default.
- W2356727164 hasPublicationYear "2010" @default.
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