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《Beijing Surveying and Mapping》 2018-10
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Research on the Application of Fusion Genetic Algorithm and BP Neural Network to Prediction of Ground Settlement in Foundation Pit

ZHANG Bin;Zhuhai Institute of Surveying and Mapping;  
With the increasing range and depth of foundation pit excavation,how to ensure the safety of ground surface settlement in excavation of foundation pit is very important.In this paper,the weights and thresholds of the BP neural network prediction model are optimized by genetic algorithm,and the monitoring and forecasting of the ground pit surface settlement monitoring time series is performed.At the same time,the prediction results are quantitatively compared and analyzed with the genetic algorithm and the neural network prediction model.The results show that the fusion model can predict the ground settlement trend of the foundation pit more quickly and accurately than the BP neural network.At the same time,the correlation between the groundwater subsidence time series and the ground settlement of the foundation pit is analyzed.The results show that the groundwater settlement It has a great influence on the settlement of the foundation pit,and provides technical support and reference for the prediction of surface settlement of the foundation pit.
【CateGory Index】: TU433;TP18
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