Study on Application of Support Vector Machine to Prediction of Blasting Vibration Velocity

Abstract:

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Based on the nonlinear regression theory of Support Vector Machine, SVM model was put forward to predict blasting vibration velocity by using monitoring data obtained in blasting site as training samples. By comparing the results of the two prediction models of the improved Sadaovsk and SVM, the feasibility of the new learning method of SVM model was verified, which will provide a new way to predict and control intensity of blasting vibration. The best way to select the parameters of SVM needs to be further explored.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4155-4159

DOI:

10.4028/www.scientific.net/AMM.71-78.4155

Citation:

H. X. Wei and J. Zhu, "Study on Application of Support Vector Machine to Prediction of Blasting Vibration Velocity", Applied Mechanics and Materials, Vols. 71-78, pp. 4155-4159, 2011

Online since:

July 2011

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Price:

$35.00

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