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Mobalegh M. Applications of artificial neural network in geotechnical engineering - a review study. JOTS 2024; 2 (2) :71-86
URL: http://jots.knu.edu.af/article-1-38-en.html

Over the past years, the use of artificial neural networks has increased in many engineering fields. In particular, artificial neural networks have been applied to many geotechnical engineering problems and remarkable results have been obtained. The review of the background of the subject shows that artificial neural networks have been successfully used in predicting pile bearing capacity, soil retaining structures, settlement of structures, stability of slopes, design of tunnels and underground openings, liquefaction, soil compaction, swelling and classification of soils. The purpose of this article is to provide an overview of some applications of artificial neural network to solve some geotechnical engineering problems; Also, the strengths and weaknesses of this method will be examined in comparison with other modeling solutions.