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Support Vector Regression is a new kind of machine learning algorithm based on the idea of structural risk minimization with good generalization performance, which is applied to build prediction model for steel mechanical property in this paper. Training SVR requires large memory and long CPU time when the data set is large. To alleviate the computational burden in SVR training, a new sample selection...
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