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SVM method for predicting the thickness of sandstone

โœ Scribed by Youxi Yue; Jun Wang


Book ID
107505765
Publisher
Chinese Geophysical Society
Year
2007
Tongue
English
Weight
978 KB
Volume
4
Category
Article
ISSN
1672-7975

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โœ Hua ZHANG; Yun-jia WANG; Yong-feng LI ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier ๐ŸŒ English โš– 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