- Title
- Blast-induced ground vibration prediction using support vector machine
- Creator
- Khandelwal, Manoj
- Date
- 2011
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/161759
- Identifier
- vital:12566
- Identifier
-
https://doi.org/10.1007/s00366-010-0190-x
- Identifier
- ISBN:0177-0667
- Abstract
- Ground vibrations induced by blasting are one of the fundamental problems in the mining industry and may cause severe damage to structures and plants nearby. Therefore, a vibration control study plays an important role in the minimization of environmental effects of blasting in mines. In this paper, an attempt has been made to predict the peak particle velocity using support vector machine (SVM) by taking into consideration of maximum charge per delay and distance between blast face to monitoring point. To investigate the suitability of this approach, the predictions by SVM have been compared with conventional vibration predictor equations. Coefficient of determination (CoD) and mean absolute error were taken as a performance measure. © 2010 Springer-Verlag London Limited.
- Publisher
- Springer-Verlag London Limited
- Relation
- Engineering with Computers Vol. 27, no. 3 (2011), p. 193-200
- Rights
- Copyright © 2010 Springer-Verlag London Limited.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0801 Artificial Intelligence and Image Processing; 0802 Computation Theory and Mathematics; Blast vibration; Coefficient of determination; Conventional vibration predictor equations; Mean absolute error; Support vector machine
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