A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction-Reference-Cited by-同舟云学术

A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction

Published:2020-10-20 Issue:11 Volume:2 Page:
ISSN:2523-3963
Container-title:SN Applied Sciences
language:en
Short-container-title:SN Appl. Sci.

Author:

Arthur Clement Kweku^ORCID,Temeng Victor Amoako,Ziggah Yao Yevenyo^ORCID

Funder

Ghana National Petroleum Corporation

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42452-020-03611-3.pdf

Reference58 articles.

1. Ambraseys NR, Hendron AJ (1968) Dynamic behavior of rock masses. In: Stagg K, Wiley J (eds) Rock mechanics in engineering practices. Wiley, London, pp 203–207

2. Langefors U, Kilhstrom B (1963) The modern technique of rock blasting. John Wiley and Sons, New York

3. Duvall WI, Petkof B (1959) Spherical propagation of explosion generated strain pulses in rock. U.S Dept. of the Interior, Washington DC

4. Roy PP (1991) vibration control in an opencast mine based on improved blast vibration predictors. Min Sci Technol 12:157–165

5. Indian Standard Institute (1973) Criteria for safety and design of structures subject to underground blasts. Bureau of Indian Standards, India

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