A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction-Reference-Cited by-同舟云学术

A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction

Published:2021-06 Issue:12 Volume:14 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Lawal Abiodun Ismail,Olajuyi Seun Isaiah,Kwon Sangki,Onifade Moshood

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-021-07391-x.pdf

Reference48 articles.

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2. Akande JM, Lawal AI (2013) Optimization of blasting parameters using regression models in Ratcon and NSCE granite quarries, Ibadan, Oyo State Nigeria. Geomat 3:28–37

3. Akande JM, Lawal AI, Aladejare EA (2014) Optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in NAMDEB southern coastal mine stripping fleet. Namibia SciencePG 2(6):158–166

4. Akinbinu VA (2018) Assessment of blast induced vibrations based on regulatory criteria (a case study of limestone mines, Nigeria). Int J Min Miner Process Eng 9(2):81–93

5. Ambraseys NR, Hendron AJ (1968) Dynamic behaviour of rock mass. In proceedings of Rock Mechanics in Engineering Practices. John Wiley and Sons, London, pp 203–207

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