Paper Title:
Study on Application of Support Vector Machine to Prediction of Blasting Vibration Velocity
  Abstract

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
Chapter
Chapter 7: Frontiers of Computer Applicated in Building
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, 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
Authors
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Price
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