Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm
The prediction of slope stability was performed using artificial neural networks (ANNs) in this work. The factor of safety determined by numerical analysis was used to develop ANN’s data sets. The inputs to the network are slope height, applied surcharge and slope angle. Correlation coefficients bet...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/18746/ http://journalarticle.ukm.my/18746/1/16.pdf |
| _version_ | 1848814655877677056 |
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| author | Rufaizal Che Mamat, Azuin Ramli, Muhamad Razuhanafi Mat Yazid, Anuar Kasa, Siti Fatin Mohd Razali, Bastam, Mukhlis Nahriri |
| author_facet | Rufaizal Che Mamat, Azuin Ramli, Muhamad Razuhanafi Mat Yazid, Anuar Kasa, Siti Fatin Mohd Razali, Bastam, Mukhlis Nahriri |
| author_sort | Rufaizal Che Mamat, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The prediction of slope stability was performed using artificial neural networks (ANNs) in this work. The factor of safety determined by numerical analysis was used to develop ANN’s data sets. The inputs to the network are slope height, applied surcharge and slope angle. Correlation coefficients between numerical data and ANNs outputs showed the feasibility of ANNs for successfully modelling and predicting safety issues. The ANNs training phase is improved using a genetic algorithm (GA), and the results are compared to those obtained without GA trained ANNs. A sensitivity analysis is conducted to ascertain the relative contribution of different factors on slope stability. The slope angle and applied surcharge have a significant effect on slope stability. |
| first_indexed | 2025-11-15T00:37:33Z |
| format | Article |
| id | oai:generic.eprints.org:18746 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:37:33Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:187462022-06-03T00:57:54Z http://journalarticle.ukm.my/18746/ Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm Rufaizal Che Mamat, Azuin Ramli, Muhamad Razuhanafi Mat Yazid, Anuar Kasa, Siti Fatin Mohd Razali, Bastam, Mukhlis Nahriri The prediction of slope stability was performed using artificial neural networks (ANNs) in this work. The factor of safety determined by numerical analysis was used to develop ANN’s data sets. The inputs to the network are slope height, applied surcharge and slope angle. Correlation coefficients between numerical data and ANNs outputs showed the feasibility of ANNs for successfully modelling and predicting safety issues. The ANNs training phase is improved using a genetic algorithm (GA), and the results are compared to those obtained without GA trained ANNs. A sensitivity analysis is conducted to ascertain the relative contribution of different factors on slope stability. The slope angle and applied surcharge have a significant effect on slope stability. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18746/1/16.pdf Rufaizal Che Mamat, and Azuin Ramli, and Muhamad Razuhanafi Mat Yazid, and Anuar Kasa, and Siti Fatin Mohd Razali, and Bastam, Mukhlis Nahriri (2022) Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm. Jurnal Kejuruteraan, 34 (1). pp. 165-173. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3401-2022/ |
| spellingShingle | Rufaizal Che Mamat, Azuin Ramli, Muhamad Razuhanafi Mat Yazid, Anuar Kasa, Siti Fatin Mohd Razali, Bastam, Mukhlis Nahriri Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title | Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title_full | Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title_fullStr | Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title_full_unstemmed | Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title_short | Slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| title_sort | slope stability prediction of road embankment using artificial neural network combined with genetic algorithm |
| url | http://journalarticle.ukm.my/18746/ http://journalarticle.ukm.my/18746/ http://journalarticle.ukm.my/18746/1/16.pdf |