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Marine Georesources & Geotechnology Volume 37, 2019 - Issue 6
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Original Articles

A new approach to predict the compression index using artificial intelligence methods

Mohammed Amin BenbourasCivil Engineering Department, University of Abbes Laghrour, Khenchela, Algeria; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-4986-9885View further author information
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Ratiba Kettab MiticheLaboratory of Materials in Civil Engineering and Environment, Ecole Nationale Polytechnique, Algiers, Algeria; ORCID Iconhttp://orcid.org/0000-0002-2660-6321View further author information
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Hamma ZediraCivil Engineering Department, University of Abbes Laghrour, Khenchela, Algeria; ORCID Iconhttp://orcid.org/0000-0002-7836-3675View further author information
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Alexandru-Ionut PetrisorDoctoral School of Urban Planning, ‘Ion Mincu’ University of Architecture and Urban Planning, Bucharest, Romania; ORCID Iconhttp://orcid.org/0000-0002-2159-4034View further author information
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Nourredine MezouarNational Earthquake Engineering Research Center (CGS), Algiers, AlgeriaView further author information
&
Fatiha DebicheLaboratory of Materials in Civil Engineering and Environment, Ecole Nationale Polytechnique, Algiers, Algeria; ORCID Iconhttp://orcid.org/0000-0001-7505-3404View further author information
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Pages 704-720 | Received 22 Feb 2018, Accepted 18 May 2018, Published online: 10 Oct 2018

Citations (19)

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Read on this site (3)

QianBiao Liu, Sa Li, JiangSong Yin, TingTing Li & Molin Han. (2023) Simulation of mechanical behavior of carbonate gravel with hybrid PSO–SVR algorithm. Marine Georesources & Geotechnology 41:4, pages 446-459.
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Huifen Liu, Peiyuan Lin, Chengchao Guo, Zhongbao Li & Xiao Qin. (2021) A shallow artificial neural network for mapping bond strength of soil nails. Marine Georesources & Geotechnology 39:3, pages 280-292.
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Hui Hu & Peiyuan Lin. (2020) Analysis of resistance factors for LRFD of soil nail pullout limit state using default FHWA load and resistance models. Marine Georesources & Geotechnology 38:3, pages 332-348.
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Articles from other publishers (16)

Frank I. Aneke, Kennedy C. Onyelowe & Ahmed M. Ebid. (2023) AI-Based Estimation of Swelling Stress for Soils in South Africa. Transportation Infrastructure Geotechnology.
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Mohammed Amin Benbouras & Lina Lefilef. (2021) Progressive Machine Learning Approaches for Predicting the Soil Compaction Parameters. Transportation Infrastructure Geotechnology 10:2, pages 211-238.
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Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo’ubi, Pijush Samui, Amir H. Gandomi & Candan Gokceoglu. (2022) A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index. Archives of Computational Methods in Engineering 29:7, pages 4735-4773.
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Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo'ubi, Bishwajit Roy, Pijush Samui & Amir H. Gandomi. (2022) Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter. Journal of Rock Mechanics and Geotechnical Engineering 14:5, pages 1588-1608.
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Mohammed Amin Benbouras. (2022) Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers. International Journal of Sediment Research 37:5, pages 601-618.
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Vishnu Himanshu Ratnam Pandey, Ashutosh Kainthola, Vikram Sharma, Abhishek Srivastav, T. Jayal & T. N. Singh. (2022) Deep learning models for large-scale slope instability examination in Western Uttarakhand, India. Environmental Earth Sciences 81:20.
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Du Qian, Jianxun Yang & Jiapeng Wang. (2022) Novel hybrid models to predict the capillary water absorption values of building stones. Engineering Research Express 4:3, pages 035012.
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Karima Benfodil, Mohammed Amin Benbouras, Samir Ansel, Abdellah Mohamed-Cherif & Khatima Ait-Oudhia. (2022) Prediction of Trypanosoma evansi infection in dromedaries using artificial neural network (ANN). Veterinary Parasitology 306, pages 109716.
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Ziguang He, Hoang Nguyen, Thai Ha Vu, Jian Zhou, Panagiotis G. Asteris & Anna Mammou. (2021) Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms. Acta Geotechnica 17:4, pages 1257-1272.
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Fang Xu, Loke Kok Foong & Zongjie Lyu. (2020) A novel search scheme based on the social behavior of crow flock for feed-forward learning improvement in predicting the soil compression coefficient. Engineering with Computers 38:2, pages 1645-1658.
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Abidhan Bardhan, Anasua GuhaRay, Shubham Gupta, Biswajeet Pradhan & Candan Gokceoglu. (2022) A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor. Transportation Geotechnics 32, pages 100678.
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Mohammed Amin Benbouras, Alexandru-Ionuţ Petrişor, Hamma Zedira, Laala Ghelani & Lina Lefilef. (2021) Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques. Applied Sciences 11:22, pages 10908.
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Ridong Fan, Jiaping Liu, Songyu Liu, Yanjun Du, Martin Liu & Sunan You. (2021) Predicting the Compression Index of Saturated Reconstituted Contaminated Clays Using Index Properties. KSCE Journal of Civil Engineering 25:9, pages 3289-3297.
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Kennedy C. Onyelowe, Ahmed M. Ebid, Light Nwobia & Lam Dao-Phuc. (2021) Prediction and performance analysis of compression index of multiple-binder-treated soil by genetic programming approach. Nanotechnology for Environmental Engineering 6:2.
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Ahmed M. Ebid. (2020) 35 Years of (AI) in Geotechnical Engineering: State of the Art. Geotechnical and Geological Engineering 39:2, pages 637-690.
Crossref
Mohammed Amin Benbouras & Alexandru-Ionut Petrisor. (2021) Prediction of Swelling Index Using Advanced Machine Learning Techniques for Cohesive Soils. Applied Sciences 11:2, pages 536.
Crossref

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