Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles-Reference-Cited by-同舟云学术

Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles

Published:2022-10 Issue: Volume:268 Page:114769
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Cao Minh-Tu,Nguyen Ngoc-Mai,Wang Wei-Chih

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference77 articles.

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3. Strength of pile caps under eccentric loads: Experimental study and review of code provisions;Miguel-Tortola;Eng Struct,2019

4. Pham TA, Tran VQ, Vu H-LT, Ly H-B. Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity. PLoS One. 2020;15:e0243030.

5. Jeon J, Rahman MS. Fuzzy neural network models for geotechnical problems. 2008.

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