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
• Published: Springer Nature 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/86804/; http://dx.doi.org/10.1007/s00366-018-00694-w
• Institution: Universiti Teknologi Malaysia

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 valuable...