Enhancing slope stability prediction using a multidisciplinary approach and radial basis function neural network: A case study on the Jelapang rock slope in Perak-Reference-Cited by-同舟云学术

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Enhancing slope stability prediction using a multidisciplinary approach and radial basis function neural network: A case study on the Jelapang rock slope in Perak

Published:2024-10 Issue: Volume:135 Page:103673
ISSN:1474-7065
Container-title:Physics and Chemistry of the Earth, Parts A/B/C
language:en
Short-container-title:Physics and Chemistry of the Earth, Parts A/B/C

Author:

Ismail Afiqah,A Rashid Ahmad Safuan,Dehghanbanadaki Ali,Rasib Abd Wahid,Saari Radzuan,Mustaffar Mushairry,Kassim Azman,Abdullah Rini Asnida,Padil Khairul Hazman,Mohd Yusof Norbazlan,Abd Rahaman Norisam

Funder

Government of Malaysia Ministry of Higher Education

Universiti Teknologi Malaysia

Publisher

Elsevier BV

Reference44 articles.

1. DIPANALYST: a computer program for quantitative kinematic analysis of rock slope failures;Admassu;Comput. Geosci.,2013

2. Agisoft PhotoScan User Manual;Agisoft,2016

3. Unit composite friction coefficient of model pile floated in kaolin clay reinforced by recycled crushed glass under uplift loading;Amiri;Transportation Geotechnics,2020

4. Prediction of the strength and elasticity modulus of granite through an expert artificial neural network;Armaghani;Arabian J. Geosci.,2016

5. Application of artificial intelligence techniques in slope stability analysis: a short review and future prospects;Bardhan;Int. J. Geotech. Earthq. Eng.,2022

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