Optimization for impact factors of dam deformation based on BP neural network model

摘要：

The traditional Dam deformation predicting focused on the optimization of the model itself, while ignoring the optimization for impact factors. This paper introduced correlation coefficient into the judgment of the optimization for impact factors. According to the comparative analysis on the discrimination for different relativity judging, Finally, The Pearson correlation coefficient method is determined about the optimization of the dam deformation impact factors.

关键词： Dam deformation impact factor correlation coefficient BP neural network

作者: Lu Tieding Chen Xijiang Zhou Shijian

作者单位: School of Geoscienee and Geomaties East China Institute of Technology Fu-zhou, China School of Geoscience and Geomaties East China Instituteof Technology Fu-zhou,China Jiangxi Academy of Science Nanchang,China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 2024-2027

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）