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《China Journal of Highway and Transport》 2003-02
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Application of artificial neural network in settlement prediction of highway soft foundation

ZHONG Cai gen 1, DING Wen qi 1, WANG Mao he 2, ZHANG Sheng 2 (1 Department of Underground Architecture and Engineering, Tongji University, Shanghai 200092, China; 2 Highway Design Institute of Anhui Province, Hefei 230041, China)  
In this paper, on the basis of artificial neural network and field measuring information, the analysis method for predicting the highway settlement which varies with time is established. In this method,the artificial neural network structure for settlement prediction of highway soft foundation is set up, and the measuring settlement in former stage is used for training the neural network, the internal relation between the highway settlement and main influencing factors is thus obtained, then the settlement in later stage is predicted by the trained neural network.
【CateGory Index】: U416.1
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