Forecasting ground vibration due to rock blasting: a hybrid intelligent approach using support vector regression and fuzzy C-means clustering

Ground vibration due to rock blasting is one of the main concerns in the mining operation and may cause severe damages to nearby structures and population. Therefore, accurate prediction of ground vibration plays an important role in the minimization of environmental effects of blasting in mines. No...

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Bibliographic Details
Published in:	Engineering with computers Vol. 34; no. 2; pp. 357 - 365
Main Authors:	Sheykhi, Hasan, Bagherpour, Raheb, Ghasemi, Ebrahim, Kalhori, Hamid
Format:	Journal Article
Language:	English
Published:	London Springer London 01.04.2018 Springer Nature B.V
Subjects:	Blasting CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Clustering Computer Science Computer-Aided Engineering (CAD Control Empirical equations Environmental effects Ground motion Hybrid systems Math. Applications in Chemistry Mathematical and Computational Engineering Mathematical models Mines Original Article Predictions Structural damage Support vector machines Systems Theory Vibration Support vector regression (SVR) USBM empirical equation Fuzzy C-means clustering (FCM) Ground vibration
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
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