Study on Mark-up Rate Decision Model Based on RBF Neural Network

摘要：

Aiming at the characteristics of mark-up decision,18 main factors which influenced the mark-up rate were defined based on previous experiences and research results to build index system of the mark-up rate decision model. Then RBF neural network model was used for markup rate decision in bidding and pricing with MATLAB neural network toolbox.

关键词： bidding and pricing decision mark-up rate RBF neural network

作者: H Y Yang L H Wang F R Meng

作者单位: Department of Engineering and Technology,Northeast Forestry University,Harbin,China Faculty of Forestry & Environmental Management,University of New Brunswick,Fredericton,NB,E3C 2G6

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 1031-1034

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）