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《Sichuan Building Science》 2006-01
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Forecast the distributing of collapsed building with a blur neural network

ZHANG Yu-li (Huazhong University of Science and Technology,Wuhan 430072,China)  
The distributing area of collapsed building bears on some factors such as: the high,the weight,the layer number of building.Forecasting the distributing area of collapsed deposits is very difficult.Now,the blur artificial neural network can work out this problem.In this paper,a new NN former has been used to combine the blur reasoning system with the eradiate function neural network.The network model can be used to export the distributing area of deposits and average high of collapsed building with forming some predigesting multilayer neural network matrix.The formulas of whole import and export of blur network are very efficiency.
【CateGory Index】: TU312.3
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