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

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

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...

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Bibliographic Details
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
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Institution: Universiti Teknologi Malaysia

Internet

http://eprints.utm.my/id/eprint/86804/
http://dx.doi.org/10.1007/s00366-018-00694-w

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