Based on the model of BP neural network to predict theproject cost of highway
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    Abstract:

    Based on the principle of BP neural network in and on the analysis of the characteristics ofhighway engineering,this paper identified seven engineering characteristics as the input vector of theneural network,build the highway engineering cost prediction model is based on BP neural network,combined with MATLAB neural network toolbox to design,and has the engineering as an example.Bytraining,correction,and to verify the model,it is proven that BP neural network can effectively improvethe accuracy of the prediction,has very good practical value.

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WANG Fei, ZHENG Zhang-li, GUO Jing-jing, YIN Jian-ying. Based on the model of BP neural network to predict theproject cost of highway[J].,2014,31(4):102-104

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  • Received:April 05,2014
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  • Online: January 20,2015
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