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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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer Nature
2020
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| Subjects: | |
| 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 |