Neural Network Model on Basin Flood Prevention Effect Assessment

摘要：

Because of the superiority in approximation, classification and study speed,the radial basis function artificial neural network(RBF-ANN)model is receiving more and more scholars attention.Its framework, design,simulation and output of graphs are presented. With the aid of MATLAB tools,integrative assessment of basin flood prevention effect using above model is introduced.As an applied example,the assessment index system including 15 indexes and the standard including 3 levels are constructed for Liaohe basin to assess its flood prevention effect.The result indicates that the flood prevention effect in studied area belongs to middle, which conforms to the local actual situation.In addition, RBF-ANN model is proved to be simple,effective to classify,with strong applicability and broadlyapplicable prospect.

关键词： flood prevention effect assessment neural network model Liaohe basin

作者: Y. Z. Shi Y. Q. Zheng Miao Li Y. Z. Shi Y. Q. Zheng Miao Li

作者单位: School of Water Conservancy,Changsha University of Technology & Science Changsha, China Key Laboratory of Water & Sediment Science and Water Hazard Prevention Changsha,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: 83-86

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）