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

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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Bibliographic Details
Main Authors: Dieu Tien Bui, Hossein Moayedi, Mu’azu Mohammed Abdullahi, Ahmad Safuan A Rashid, Hoang Nguyen
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
machine learning
belled piles
pullout behavior
Online Access:https://www.mdpi.com/1424-8220/19/17/3678

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