Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction

@article{Nguyen2019AdaptiveNB,
  title={Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction},
  author={Hoang-Long Nguyen and B. Pham and Le Hoang Son and N. Thang and H. Ly and Tien-Thinh Le and Lanh Si Ho and Thanh-Hai Le and D. Bui},
  journal={Applied Sciences},
  year={2019},
  volume={9},
  pages={4715}
}
The International Roughness Index (IRI) is the one of the most important roughness indexes to quantify road surface roughness. In this paper, we propose a new hybrid approach between adaptive network based fuzzy inference system (ANFIS) and various meta-heuristic optimizations such as the genetic algorithm (GA), particle swarm optimization (PSO), and the firefly algorithm (FA) to develop several hybrid models namely GA based ANGIS (GANFIS), PSO based ANFIS (PSOANFIS), FA based ANFIS (FAANFIS… Expand
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