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- W2384652403 abstract "Based on the monitoring features of regional subsidence area,it presents the reference points and work bps which can reflect regional subsidence to the GA-BP neural network subsidence prediction and analysis.A method of engineering subsidence analysis and prediction based on GA-BP neural networks superimposed on regional subsidence is given.According to the engineering examples,the settlement prediction value fitting accuracy is greatly improved compared with traditional methods,which will reflect the settlement of the engineering building better and verify the feasibility of this method." @default.
- W2384652403 created "2016-06-24" @default.
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- W2384652403 date "2014-01-01" @default.
- W2384652403 modified "2023-09-25" @default.
- W2384652403 title "Engineering subsidence analysis and prediction by GA-BP neural networks superimposed on regional subsidence" @default.
- W2384652403 hasPublicationYear "2014" @default.
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