Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading

Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading

Determining the bearing capacity of a strip footing under inclined loading is crucial in designing foundations. Due to the complex correlations, the subject area remains predominantly unexplored, or it has been simulated using only limited datasets. This paper presents the development of a predictio...

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Bibliographic Details
Main Authors: Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, Suraparb Keawsawasvong, Pijush Samui
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Intelligent Systems with Applications
Subjects:
Artificial neural network (ANN)
Ant colony optimization (ACO)
Artificial lion optimization (ALO)
The imperialist competitive algorithm (ICA)
and Shuffled complex evolution (SCE)
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323001394

Internet

http://www.sciencedirect.com/science/article/pii/S2667305323001394

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