Prediction Model of Emergency Materials Demand Based on Gaussian Case-based Reasoning Method

摘要：

　　In recent years, the emergency incident occurred frequently, causing a great loss to peoples lives and property.So how to predict the demand of emergency materials precisely to reduce the loss caused by emergency is becoming a very important issue.To resolve the problem of low accuracy in the previous Case-based Reasoning Method, this paper puts forward the improved Gaussian Case-based Reasoning Method.Based on the traditional similarity calculation—Euclidean distance, a new similarity calculation method is proposed.That is transforming the Euclidean distance metric into Gaussian index to calculate the similarity, by means of the concept of Gaussian function.With the advantage of better processing nonlinear data, it helps to enhance the accuracy of the prediction on emergency materials demand, which will have the certain reference value to the prediction of emergency materials demand.

关键词： Emergency materials Gaussian Case-based Reasoning Similarity Demand predicting model

作者: XU Guang-jun LI Xiao-xiao

作者单位: School of Economics and Management,Beijing University of Chemical Technology,Beijing,P.R.China,100029

会议类型: 国际会议

会议名称: 2013 International Conference on Public Administration (9th)(2013年第九届公共管理国际会议)

会议地点: 南非

会议语种:英文

页码: 867-871

在线出版日期: 2013-10-31（万方平台首次上网日期，不代表论文的发表时间）