River flow forecasting by comparative analysis of multiple input and multiple output models form using ANN
Author:
Affiliation:
1. Department of Civil Engineering, National Institute of Technology Silchar, NIT Road, Silchar, Assam 788010, India
2. Department of Civil Engineering, National Institute of Technology Agartala, Barjala, Jirania, Agartala, Tripura 799046, India
Abstract
Publisher
IWA Publishing
Subject
Management, Monitoring, Policy and Law,Environmental Science (miscellaneous),Water Science and Technology
Link
https://iwaponline.com/h2open/article-pdf/4/1/413/985134/h2oj0040413.pdf
Reference16 articles.
1. Novel criteria for global robust stability of dynamical neural networks with multiple time delays;Neural Networks,2021
2. A Muskingum-based methodology for river discharge estimation and rating curve development under significant lateral inflow conditions;Journal of Hydrology,2017
3. Discrete and continuous representations and processing in deep learning: looking forward;AI Open,2021
4. Multiple inflows Muskingum routing model;Journal of Hydrologic Engineering,2007
5. Forecasting concurrent flows in a river system using ANNs;Journal of Hydrologic Engineering,2015
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