Prediction of the blast-induced ground vibration in tunnel blasting using ANN, moth-flame optimized ANN, and gene expression programming

Author:

Lawal Abiodun Ismail,Kwon Sangki,Kim Geon Young

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference30 articles.

1. Abdel-Rasoul EI (2000) Assessment of the particle velocity characteristics of blasting vibrations at Bani Khalid quarries. Bull Faculty Eng 28(2):135–150

2. Akande JM, Aladejare AE, Lawal AI (2014) Evaluation of the environmental impacts of blasting in Okorusu Fluorspar Mine. Namibia Int J Eng Tech 4(2):101–108

3. Armaghani DJ, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci 7(12):5383–5396

4. Duvall WI, Petkof B (1959) Spherical propagation of explosion generated strain pulses in rock. U.S. Department of the Interior, Bureau of Mines

5. Fausett L (1994) Fundamentals of neural networks. Prentice Hall, Englewood Cliffs

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