Study on double coupling algorithm based model for coal and gas outburst prediction

doi:10.16265/j.cnki.issn1003-3033.2018.03.015

Abstract

Abstract: In order to improve the accuracy of coal and gas outburst prediction, a double coupling algorithm based model was built on the basis of combining the IsoMap algorithm with the coupling method (DDICS-WLS-SVM). The IsoMap algorithm is used to excavate the low-dimensional essence features of coal and gas outburst, followed by usage of DDICS algorithm to optimize the regularization parameter and the Gaussian kernel parameter of WLS-SVM. Finally, the low-dimensional essence features are extracted as the input to the prediction model which subsequently outputs the intensity of coal and gas. The results show that the relative errors in prediction by the model are not greater than 2.63%, and that the model is better than both the PSO-SVM and LS-SVM in prediction accuracy.

Key words: coal and gas outburst, weighted least squares support vector machine (WLS-SVM), isometric mapping (IsoMap) algorithm, coupling algorithm, prediction

CLC Number:

X936

FU Hua, FENG Shengcheng , GAO Zhenbiao , YANG Yugang. Study on double coupling algorithm based model for coal and gas outburst prediction[J]. China Safety Science Journal, 2018, 28(3): 84-89.

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