Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

Compression index Cc is an essential parameter in geotechnical design for which the effectiveness of correlation is still a challenge. This paper suggests a novel modelling approach using machine learning (ML) technique. The performance of five commonly used machine learning (ML) algorithms, i.e. ba...

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Bibliographic Details
Main Authors: Pin Zhang, Zhen-Yu Yin, Yin-Fu Jin, Tommy H.T. Chan, Fu-Ping Gao
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Geoscience Frontiers
Subjects:
Compressibility
Clays
Machine learning
Optimization
Random forest
Genetic algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987120300566

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http://www.sciencedirect.com/science/article/pii/S1674987120300566

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