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- W2373870718 abstract "Aiming at that it was still difficult to reasonably predict karstic collapse,a model based on machine learning of Gaussian process(GP) was proposed for prediction of karstic collapse.With few learning samples,the nonlinear mapping relationship between karstic collapse and its influence factors was established by the GP model.The model was applied to a project.The results show that the GP model is feasible,effective and simple to implement for prediction of karstic collapse.It has such merits as self-adaptive determination of parameters and excellent capability in solving non-linear small samples problems." @default.
- W2373870718 created "2016-06-24" @default.
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- W2373870718 date "2011-01-01" @default.
- W2373870718 modified "2023-09-23" @default.
- W2373870718 title "Machine learning model of Gaussian process for prediction of karstic collapse" @default.
- W2373870718 hasPublicationYear "2011" @default.
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