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	Simulation experiment result forecast method based on support vector machine
	Zhu, Shuguang ; Li, Zhiqiang ; Hu, Xiaofeng ; Si, Guangya ; Qian, Liyan ; Mo, Qian ; Huang, Guangqi
	2009
英文摘要	Simulation experiment result forecast method based on support vector machine (SVM) is put forward and elaborated. Two-class and multiclass forecast experiments are successfully performed. And SVMs are proved to be powerful in solving the high time cost problem occurring in the exploratory simulation analysis. ? 2009 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ICICTA.2009.290
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/411228]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhu, Shuguang,Li, Zhiqiang,Hu, Xiaofeng,et al. Simulation experiment result forecast method based on support vector machine. 2009-01-01.

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