Data pre-processing and artificial neural networks for tidal level prediction at the Pearl River Estuary | Citedby Results | Journal of Hydroinformatics | IWA Publishing

Skip to Main Content

Skip Nav Destination

Data pre-processing and artificial neural networks for tidal level prediction at the Pearl River Estuary

Journal of Hydroinformatics (2021) 23 (2): 368–382.

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

Forecasting chlorophyll‐a concentration using empirical wavelet transform and support vector regression

Jin‐Won Yu
Ju‐Song Kim
Yun‐Chol Jong
Xia Li
Gwang‐Il Ryang

Journal of Forecasting (2022) 41 (8): 1691.

Generation hybrid forecasting for frequency-modulation hydropower station based on improved EEMD and ANN adaptive switching

Shuai Zhang
Shi-Jun Chen
Guang-wen Ma
Wei-bin Huang
Bin Li

Electrical Engineering (2022) 104 (5): 2949.

Tidal Level Prediction Using Combined Methods of Harmonic Analysis and Deep Neural Networks in Southern Coastline of Iran

Kourosh Shahryari Nia
Mohammad Ali Sharifi
Saeed Farzaneh

Marine Geodesy (2022) 45 (6): 645.

Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling

Yuanhao Shi
Mengwei Li
Jie Wen
Yanru Yang
Fangshu Cui
Jianchao Zeng

Energies (2021) 14 (13): 4000.