Application of deep learning algorithms in geotechnical engineering: a short critical review

• Published in: The Artificial intelligence review Vol. 54; no. 8; pp. 5633 - 5673
• Main Authors: Zhang, Wengang, Li, Hongrui, Li, Yongqin, Liu, Hanlong, Chen, Yumin, Ding, Xuanming
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2021; Springer; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Artificial neural networks; Computational linguistics; Computer Science; Data mining; Deep learning; Engineering; Generative adversarial networks; Geotechnical engineering; Geotechnology; Language processing; Machine learning; Natural language interfaces; Neural networks; Recurrent neural networks; Deep learning; Geotechnical engineering; Big data; Neural networks

With the advent of big data era, deep learning (DL) has become an essential research subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful feature learning and expression capabilities compared with the traditional machine learning (ML) methods, which att...