Research on several problems in BP neural network application

被引：0

作者：

Huang Duo ^{[1
]}

Zhao Xinyu ^{[2
]}

机构：

[1] Xian Univ Technol, Sch Business Adm, Xian, Peoples R China

[2] Xian Univ Technol, Inst Water Resources & Hydro Elect Engn, Xian, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年

关键词：

BP neural network; acceleration algorithm; local minimum; overtraining; extrapolating ability;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Four problems existing in BP neural network practical application are discussed in this paper: slow converging speed, converging at local minimum, overtraining and poor extrapolating capacity. Comparing advantages and disadvantage of several acceleration algorithms, the paper provides the suggestions of solving those problems. The paper also advances a forecasting model of monthly irrigation return flow based on BP neural network is advanced as a case study.

引用

页码：6713 / +

页数：2