Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques

The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis functions neural networks (RBNN), general regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS). A hybrid learning...

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Detalles Bibliográficos
Autores principales: Tien Bui, Dieu, Moayedi, Hossein, Abdullahi, Mu’azu Mohammed, Safuan A Rashid, Ahmad, Nguyen, Hoang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749431/
https://www.ncbi.nlm.nih.gov/pubmed/31450585
http://dx.doi.org/10.3390/s19173678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749431/
https://www.ncbi.nlm.nih.gov/pubmed/31450585
http://dx.doi.org/10.3390/s19173678

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