BP neural network with error feedback input research and application

摘要：

Traditional data mining algorithm had limited capacity at short-term hydrological forecasting with low accuracy,and made little use of the error between the data set and the results to correct the results.Considering of the traditional hydrology predictive algorithm combined only with the external associated factors,but had not fully excavated the predictive data itself,the BP neural network predictive algorithm with error feedback input was proposed.Because the algorithm makes full use of the relationship between the forecasting result and the system information entropy,it makes the forecasted results more accurate,and achieves a satisfied result.

关键词： Data mining Neural network Feedback input Self-iterative back-propagation System information entropy

作者: Dingsheng Wan Yuting Hu Xiang Ren

作者单位: College of Computer & Information Engineering,HoHai University Nanjing 210098,Jiangsu Province,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 63-66

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