z-logo
open-access-imgOpen Access
Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration
Author(s) -
Clement Kweku Arthur,
Victor Amoako Temeng,
Yao Yevenyo Ziggah
Publication year - 2019
Publication title -
journal of sustainable mining
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.623
H-Index - 17
eISSN - 2543-4950
pISSN - 2300-3960
DOI - 10.1016/j.jsm.2019.10.001
Subject(s) - mean squared error , benchmark (surveying) , correlation coefficient , backpropagation , artificial neural network , soft computing , statistics , ground vibrations , vibration , approximation error , coefficient of determination , engineering , artificial intelligence , data mining , mathematics , computer science , geology , physics , geodesy , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom