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- W2371506596 abstract "The impact evaluation of typhoon disaster is very important to the work of typhoon emergence disaster reduction and relief.This paper provides and makes a kind of evaluation model based on discrete Hopfield neural network.In this model we choose five evaluation factors.On the basis of typhoon disaster historical data for Guangdong Province and on the principle of disaster classification,we draw up the classification method of five grades of evaluation factors,then the typhoons were coded by Hopfield,and we make the discrete Hopfield neural network model and check the model with example.Finally,we analyze the shortage of the model,and then take the weight of the evaluation factors of the model into consideration in order to make the model more rational." @default.
- W2371506596 created "2016-06-24" @default.
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- W2371506596 date "2011-01-01" @default.
- W2371506596 modified "2023-09-23" @default.
- W2371506596 title "Typhoon disaster evaluation model based on discrete Hopfield neural network" @default.
- W2371506596 hasPublicationYear "2011" @default.
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