Simultaneous optimization of clustering and fuzzy IF-THEN rules parameters by the genetic algorithm in fuzzy inference system-based wave predictor models | Citedby Results | Journal of Hydroinformatics | IWA Publishing

Skip to Main Content

Skip Nav Destination

Simultaneous optimization of clustering and fuzzy IF-THEN rules parameters by the genetic algorithm in fuzzy inference system-based wave predictor models

Journal of Hydroinformatics (2017) 19 (3): 385–404.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

An Algorithm to Speed up Network Recovery Fault Point Estimation and Recovery Action Recommendation

Shunsuke Kanai
Fumika Asai
Kazuaki Akashi
Norio Yamamoto
Kenichi Tayama
Tomoko Shibata

Journal of Network and Systems Management (2022) 30 (2)

Prediction of significant wave height by artificial neural networks and multiple additive regression trees

Moussa S. Elbisy
Ahmed M.S. Elbisy

Ocean Engineering (2021) 230: 109077.

Syndicated venture capital portfolio companies selection: a fuzzy inference system – agent-based approach

S. Ali Hasheminejad
Morteza Bagherpour
Siamak Nouri
Mir Saman Pishvaee

International Journal of Computer Mathematics (2021) 98 (11): 2186.

Nearshore two-step typhoon wind-wave prediction using deep recurrent neural networks

Chih-Chiang Wei
Ju-Yueh Cheng

Journal of Hydroinformatics (2020) 22 (2): 346.

Improvement of the ANFIS-based wave predictor models by the Particle Swarm Optimization

Morteza Zanganeh

Journal of Ocean Engineering and Science (2020) 5 (1): 84.