Variables Screening Method Based on the Algorithm of Combining Fruit Fly Optimization Algorithm and RBF Neural Network

摘要：

　　The form of fruit fly optimization algorithm (FOA) is easy to learn and has the characteristics of quick convergence and not readily dropping into local optimum.This paper presents the optimization of RBF neural network by means of FOA and establishment of network model,adopting it with the combination of the evaluation of the mean impact value(MIV) to select variables.The validity of this model is tested by two actual examples,furthermore,it is simpler to learn,more stable and practical.

关键词： FOA RBF neural network Parameter optimization MIV Variables screen

作者: Fuqiang Xu Youtian Tao

作者单位: Department of Mathematics Chaohu College Chaohu China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1521-1525

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）