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- W2376697416 abstract "Put forward a new prediction method for gas emission quantity of working face based on least squares support vector machine(LS-SVM).It can solve the small-batch learning better and avoid such disadvantages as over-training,weak normalization capability,ect.,which artificial neural networks prediction has,because the latter is based on structure risk minimization.This proposed method is simpler and can be realized easily,because it uses equality restriction instead of inequality restriction.Experiments prove that it offers an effective method for predicting gas emission quantity of working face." @default.
- W2376697416 created "2016-06-24" @default.
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- W2376697416 date "2008-01-01" @default.
- W2376697416 modified "2023-09-27" @default.
- W2376697416 title "Prediction for gas emission quantity of the working face based on LS-SVM" @default.
- W2376697416 hasPublicationYear "2008" @default.
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