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A NEW MODEL OF DISASTER EVALUATION BASED ON B-P NETWORK

Li Zuoyong;Deng Xinmin(Chengdu Institute of Meteorology)  
A new model of disaster evaluation based on the B- P neural network is developed. The approach is based on ti1e consideration that the classified grades of disaster are taken as the training samples sets, and the standard values of indexes are selected as input values of samples.Verification of 51 cases of disasters by this method shows that the B-P neural network is not only scientifically rational,but also practical in the disaster evaluation.
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