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《Journal of Safety Science and Technology》 2009-05
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Research of selecting the training samples for the infiltration route prediction model in tailing

WANG Yun-hai, LI Juan, LI Chun-min(China Academy of Science and Technology,Beijing 100029,China)  
In this paper,based on the construction of a reasonable target system,training samples were set up by two different methods,one is multi-factor time series,the other is the traditional method. Then support vector regression algorithm machine was applied to set up two different regression models for the prediction of the future infiltration route data in tailing. The research showed that,more precise data can be obtained for the infiltration route in tailing by the time series prediction model.
【Fund】: 国家“十一五”科技支撑计划课题(编号:2006BAK04B01-1)
【CateGory Index】: TD76;TV649
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