Real-time water level prediction of cascaded channels based on multilayer perception and recurrent neural network

• Published in: Journal of hydrology (Amsterdam) Vol. 585; p. 124783
• Main Authors: Ren, Tao, Liu, Xuefeng, Niu, Jianwei, Lei, Xiaohui, Zhang, Zhao
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2020
• Subjects: case studies; China; data collection; hydrologic data; Multilayer percetion; neural networks; prediction; Recurrent neural network; South-to-North Water Diversion Project; support vector machines; Water level prediction; China; Multilayer percetion; Water level prediction; South-to-North Water Diversion Project; Recurrent neural network

•Adopting neural networks to predict channel water level can improve accuracies.•Features of multiple channels and time-slices are helpful for water level prediction.•The prediction model based on recurrent neural network is more effective.•The accuracy of recurrent neural network based model reache...