Prediction of pullout behavior of belled piles through various machine learning modelling techniques

• Main Authors: Dieu, Tien Bui, Moayedi, Hossein, Mohammed Abdullahi, Mu’azu, A. Rashid, Ahmad Safuan, Nguyen, Hoang
• Format: Article
• Language: English
• Published: MDPI AG 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/88463/1/AhmadSafuanARashid2019_PredictionofPulloutBehaviorofBelledPiles.pdf; http://eprints.utm.my/id/eprint/88463/; http://dx.doi.org/10.3390/s19173678

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...