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

Shakeri, Jamshid; Shokri, Behshad Jodeiri; Dehghani, Hesam; Shakeri, Jamshid; Shokri, Behshad Jodeiri; Dehghani, Hesam

Journal

Archives of Mining Sciences

2020 | 65 | 2 |

Article title

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

Authors

Jamshid Shakeri , Behshad Jodeiri Shokri , Hesam Dehghani , Jamshid Shakeri , Behshad Jodeiri Shokri , Hesam Dehghani

Content

Full texts:

oai-journals-pan-pl-116362/full-text/Archiwum-65-2-09-Dehghani.pdf

Download

Download

Title variants

PL

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

Languages of publication

EN

Abstracts

Keywords

EN

blasting ground vibrations Gene expression programing Linear multivariate regression Sarcheshme copper mine

PL

Nauki Techniczne

Publisher

Polska Akademia Nauk

Journal

Archives of Mining Sciences

Year

2020

Volume

65

Issue

2

Physical description

Contributors

author

Jamshid Shakeri

author

Behshad Jodeiri Shokri

author

Hesam Dehghani

author

Jamshid Shakeri

author

Behshad Jodeiri Shokri

author

Hesam Dehghani

References

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.oai-journals-pan-pl-116362