Implementing an ANN model and relative importance for predicting the under drained shear strength of fine-grained soil

Author:

Gnananandarao Tammineni,Khatri Vishwas Nandkishor,Onyelowe Kennedy C.,Ebid Ahmed M.

Publisher

Elsevier

Reference27 articles.

1. Prediction of ultimate bearing capacity of skirted footing resting on sand using artificial neural networks;Dutta;J. Soft Comput. Civil Eng.,2018

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1. Novel prediction of unconfined compressive strength with least square support vector regression coupled with meta-heuristic optimizers;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-08-02

2. Predicting pile-bearing capacity utilizing least square support vector regression coupled with giant trevally optimizer and the flying foxes optimization;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-05-03

3. The implementation of a multi-layer perceptron model using meta-heuristic algorithms for predicting undrained shear strength;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-04-23

4. Prediction of pile settlement using hybrid support vector regressor;Multiscale and Multidisciplinary Modeling, Experiments and Design;2023-12-26

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