Neural Network Model on Basin Flood Prevention Effect Assessment

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 broadly-applicable prospect.