A Prediction model based on improved partial least-squares

摘要：

In order to the get more accurate result, a prediction model based on improved partial least-squares is proposed in the prediction process in this paper. The high-order variables as the factor analysis are increased in the model, but some of them are excluded by correlation analysis, at last a accurate predictive function is obtained. Finally, a fire-prediction system is taken for example to prove the feasibility of the new model.

关键词： prediction model partial least-squares(PLS) prediction function high-order variables

作者: Yingsong Hu Xiao Luo Dan Li

作者单位: College of Computer Science and Technology Huazhong University of Science and Technology Wuhan.430074,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 309-312

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）