Simulation Experiment Result Forecast Method Based on Support Vector Machine

Shuguang Zhu,Zhiqiang Li,Xiaofeng Hu,Guangya Si,Liyan Qian,Qian mo,Guangqi Huang

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference（2009）

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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.

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关键词

support vector machine,simulation experiment result forecast,exploratory simulation analysis,forecast method,multiclass forecast experiment,simulation experiment result,high time cost problem,training data,data models,forecast,classification,kernel,predictive models,testing,simulation experiment,simulation,support vector machines

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