A new approach to predict the compression index using artificial intelligence methods-Reference-Cited by-同舟云学术

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

Published:2018-10-10 Issue:6 Volume:37 Page:704-720
ISSN:1064-119X
Container-title:Marine Georesources & Geotechnology
language:en
Short-container-title:Marine Georesources & Geotechnology

Author:

Benbouras Mohammed Amin¹^ORCID,Kettab Mitiche Ratiba²^ORCID,Zedira Hamma¹^ORCID,Petrisor Alexandru-Ionut³^ORCID,Mezouar Nourredine⁴,Debiche Fatiha²^ORCID

Affiliation:

1. Civil Engineering Department, University of Abbes Laghrour, Khenchela, Algeria;

2. Laboratory of Materials in Civil Engineering and Environment, Ecole Nationale Polytechnique, Algiers, Algeria;

3. Doctoral School of Urban Planning, ‘Ion Mincu’ University of Architecture and Urban Planning, Bucharest, Romania;

4. National Earthquake Engineering Research Center (CGS), Algiers, Algeria

Funder

Francophone University Association

Publisher

Informa UK Limited

Subject

Ocean Engineering,Geotechnical Engineering and Engineering Geology,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/1064119X.2018.1484533

Reference68 articles.

1. Correlations Between Index Tests and Compressibility of Egyptian Clays

2. Alam, S., S. Khuntia, and C. Patra. 2014. Prediction of Compression Index of Clay Using Artificial Neural Network. Paper presented at the Proceeding of Industrial Engineering Science and Applications, NIT Durgapur, India, April 2.

3. Linear and Tree-Based Genetic Programming for Solving Geotechnical Engineering Problems

4. Multi expression programming: a new approach to formulation of soil classification

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