State-of-the-art review of soft computing applications in underground excavations-Reference-Cited by-同舟云学术

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State-of-the-art review of soft computing applications in underground excavations

Published:2020-07 Issue:4 Volume:11 Page:1095-1106
ISSN:1674-9871
Container-title:Geoscience Frontiers
language:en
Short-container-title:Geoscience Frontiers

Author:

Zhang Wengang,Zhang Runhong,Wu Chongzhi,Goh Anthony Teck Chee,Lacasse Suzanne,Liu Zhongqiang,Liu Hanlong

Funder

High-end Foreign Expert Introduction program

Chongqing Construction Science and Technology Plan Project

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference122 articles.

1. Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network;Adoko;Tunn. Undergr. Space Technol.,2013

2. Estimation of tunnelling-induced settlement by modern intelligent methods;Ahangari;Soils Found.,2015

3. Prediction of geological hazardous zones in front of a tunnel face using TSP-203 and artificial neural networks;Alimoradi;Tunn. Undergr. Space Technol.,2008

4. A new combination of artificial neural network and K-nearest neighbours models to predict blast-induced ground vibration and air-overpressure;Amiri;Eng. Comput.,2016

5. Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting;Armaghani;Environ. Earth Sci.,2015

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