SVM model for estimating the parameters
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Hua ZHANG; Yun-jia WANG; Yong-feng LI
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Article
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2009
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Elsevier
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English
โ 268 KB
A new mathematical model to estimate the parameters of the probability-integral method for mining subsidence prediction is proposed. Based on least squares support vector machine (LS-SVM) theory, it is capable of improving the precision and reliability of mining subsidence prediction. Many of the ge