Artificial neural network with a cross-validation approach to blast-induced ground vibration propagation modeling

Artificial neural network with a cross-validation approach to blast-induced ground vibration propagation modeling

Given their technical and economic advantages, the application of explosive substances to rock mass excavation is widely used. However, because of serious environmental restraints, there has been an increasing need to use complex tools to control environmental effects due to blast-induced ground vib...

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Bibliographic Details
Main Authors: Gustavo Paneiro, Manuel Rafael
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-06-01
Series:Underground Space
Subjects:
Rock blasting
Excavation
Ground vibrations
Artificial neural network
K-fold cross-validation
Modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967419300984

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