Prediction of Blast-Induced Ground Vibration Using Gene Expression Programming (GEP), Artificial Neural Networks (ANNs), and Linear Multivariate Regression (LMR)

In this paper, an attempt was made to find out two empirical relationships incorporating linear multivariate regression (LMR) and gene expression programming (GEP) for predicting the blast-induced ground vibration (BIGV) at the Sarcheshmeh copper mine in south of Iran. For this purpose, five types o...

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Veröffentlicht in:	Archives of Mining Sciences 2020-01, Vol.65 (2), p.317
Hauptverfasser:	Shakeri, Jamshid, Shokri, Behshad Jodeiri, Dehghani, Hesam
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blasting Correlation coefficient Correlation coefficients Gene expression Ground motion Methods Multivariate analysis Neural networks Parameters Vibration
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