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- W2365436009 abstract "With the rapid development of economy, urbanization and population increasing, the frequency of city fire and the economic loss are rising. According to the characteristics of city fire, a prediction model of city fire accidents by applying basic principles and features of neural network is established. In order to predict city fire accidents more accurately, the city fire accidents are classified into the peak period (during spring festival) and the non-peak period. The method is exemplified in a city successfully. The result shows that the model could be taken as an effective tool to predict city fire accidents and could accurately predict the occurrence tendency of city fire accidents when combined with the time period classification." @default.
- W2365436009 created "2016-06-24" @default.
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- W2365436009 date "2005-01-01" @default.
- W2365436009 modified "2023-09-25" @default.
- W2365436009 title "Prediction Method of City Fire Accidents Based on Artificial Neural Network" @default.
- W2365436009 hasPublicationYear "2005" @default.
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