Evaluation system of large- and middle-scale water conservancy management in China

摘要：

　　An evaluation system of large and middle-scale water conservancy management in China is created and studied in this paper. Firstly, the evaluation index system including 8 first-grade and 25 second-grade indexes is created based on a full investigation of a sample project, followed by a qualitative and quantitative analysis about the principles of systematization, coordination, representativeness, comparability and maneuverability. The second part is sacrificed by the improved GA-BP Neural Network evaluation algorithm, which optimizes the initial weights and threshold of the improved BP neural network by applying the genetic algorithm (GA), preventing BP neural network from achieving the local minimum and unstable training results.

关键词： evaluation system water conservancy management genetic algorithm improved BP Neural Network large- and middle-scale

作者: Yuqin Gao Guo-hua Fang Youpeng Xu Xin-Zhang

作者单位: College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098;School of Geographic a College of Water Conservancy and Hydropower, Hohai University, Nanjing 210098 School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093

会议类型: 国际会议

会议名称: The 3rd Biennial ISRS Symposium Achieving Healthy and Viable Rivers (ISRS)第3届国际河流大会

会议地点: 北京

会议语种:英文

页码: 637-644

在线出版日期: 2013-08-05（万方平台首次上网日期，不代表论文的发表时间）