Prediction of the Vertical Swelling Percentage of Expansive Clays Using a Two-Stage Artificial Neural Networks Methodology-Reference-Cited by-同舟云学术

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Prediction of the Vertical Swelling Percentage of Expansive Clays Using a Two-Stage Artificial Neural Networks Methodology

Published:2014-05-23 Issue:4 Volume:42 Page:20130162
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Bekhor Shlomo¹,Livneh Moshe²

Affiliation:

1. Associate Professor, Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, IL, (Corresponding author), e-mail: sbekhor@tx.technion.ac.il

2. Professor Emeritus, Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, IL, e-mail: moshliv@tx.technion.ac.il

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Study Between MLR and ANN Techniques to Predict Swelling Pressure of Expansive Clays;Geotechnical and Geological Engineering;2022-03-20

2. Implementation of Deep Neural Networks for Pavement Condition Index Prediction;Journal of Transportation Engineering, Part B: Pavements;2022-03

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