A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications

Artificial neural network (ANN) aimed to simulate the behavior of the nervous system as well as the human brain. Neural network models are mathematical computing systems inspired by the biological neural network in which try to constitute animal brains. ANNs recently extended, presented, and applied...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 32; no. 2; pp. 495 - 518
Main Authors:	Moayedi, Hossein, Mosallanezhad, Mansour, Rashid, Ahmad Safuan A., Jusoh, Wan Amizah Wan, Muazu, Mohammed Abdullahi
Format:	Journal Article
Language:	English
Published:	London Springer London 01.01.2020 Springer Nature B.V
Subjects:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Data Mining and Knowledge Discovery Engineering Geotechnical engineering Human behavior Image Processing and Computer Vision Information management Landslides Liquefaction Literature reviews Mathematical analysis Mathematical models Meta-analysis Nervous system Neural networks Pile bearing capacities Probability and Statistics in Computer Science Retaining walls Review Article Skin friction Slope stability Soil bearing capacity Soil classification Soil mapping Soil stability Stability analysis Systematic review ANN PRISMA Geotechnical engineering Soft computing
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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