Application of the PSO–neural network in rainfall–runoff modeling | Citedby Results | Water Practice & Technology | IWA Publishing

Skip to Main Content

Skip Nav Destination

Application of the PSO–neural network in rainfall–runoff modeling

Water Practice and Technology (2023) 18 (1): 16–26.

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

KOA Massage Robot: A Study on the Reduction of TCM Manipulation Based on PSO-BP Algorithm

Yichun Shen
Shuyi Wang
Yuhan Shen
Hua Xing
Li Gong
Jingyi Hu

IEEE Access (2024) 12: 149367.

PB-MNSGA-II algorithm and its application for multi-objective optimization design of under-vehicle equipment

Xinpeng Shi
Yana Li
Shengfang Zhang
Zeyang Zhang

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (2024)

Early warning system for floods at estuarine areas: combining artificial intelligence with process-based models

Willian Weber de Melo
Isabel Iglesias
José Pinho

Natural Hazards (2024)

Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network

Okan Mert Katipoğlu
Gaye Aktürk
Hüseyin Çağan Kılınç
Zeynep Özge Terzioğlu
Mehdi Keblouti

Earth Science Informatics (2024) 17 (4): 3623.

Lithium-Ion Battery State-of-Health Prediction for New-Energy Electric Vehicles Based on Random Forest Improved Model

Zijun Liang
Ruihan Wang
Xuejuan Zhan
Yuqi Li
Yun Xiao

Applied Sciences (2023) 13 (20): 11407.