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- W2363498519 abstract "Aiming at the problem that existed prediction models of metro tunnel settlement ignored the comprehensive consideration of influencing factors,a entropy weight GA-ELM model was established based on maximum information entropy theory combining with the genetic,and the corresponding codes were programmed in Matlab.Finally,the model was employed to predict deformation of Xi'an metro tunnel settlement.Compared with the results obtained by traditional BP neural network and ANP-BP neural network,the prediction error of entropy weight GA-ELM model was smaller and more stable." @default.
- W2363498519 created "2016-06-24" @default.
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- W2363498519 date "2016-01-01" @default.
- W2363498519 modified "2023-09-24" @default.
- W2363498519 title "Metro tunnel settlement prediction based on entropy weight GA-ELM model" @default.
- W2363498519 hasPublicationYear "2016" @default.
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