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Application of Genetic Algorithm-BP Neutral Networks in Monitoring of Deep Foundation Pit Excavation

GAO Guang-yun et al.  
The monitoring data analysis in deep foundation pit excavation is quite complex and it depends much on experience rather than on theory. In this paper, the model of genetic algorithm-BP artificial neural networks is proposed and the genetic algorithm is combined with error back propagation method to make an effective and accurate algorithm and optimize the neural network structure. The forward propagation and control of measured data error in the networks are analyzed, some solution is presented. At last, by analysis of case study some suggestions are given.
【Fund】: 上海市重点学科 (岩土工程 )资助
【CateGory Index】: TU941
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