Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

• Main Authors: Moayedi, Hossein, Raftari, Mehdi, Sharifi, Abolhasan, Wan Jusoh, Wan Amizah, A. Rashid, Ahmad Safuan
• Format: Article
• Language: English
• Published: Springer 2020
• Subjects: T Technology (General); TA715-787 Earthwork. Foundations
• Online Access: http://eprints.uthm.edu.my/5611/1/J8022_375a92266df66b0299708fc8f7e69d3e.pdf; http://eprints.uthm.edu.my/5611/; https://doi.org/10.1007/s00366-018-00694-w

This study aimed to optimize Adaptive Neuro-Fuzzy Inferences System (ANFIS) with two optimization algorithms, namely, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for the calculation friction capacity ratio (α) in driven shafts. Various studies are shown that both ANFIS are valuabl...