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Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms |
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| Authors: | Yaseen Zaher Mundher Naganna Sujay Raghavendra Sa’adi Zulfaqar Samui Pijush Ghorbani Mohammad Ali Salih Sinan Q. Shahid Shamsuddin |
| Affiliation: | 1.Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam ;2.Department of Civil Engineering, Shri Madhwa Vadiraja Institute of Technology and Management, Bantakal-574115, Udupi, India ;3.Center for environmental and sustainability and water security (IPASA), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia ;4.Department of Civil Engineering, National Institute of Technology Patna, Bihar, India ;5.Department of Water Engineering, University of Tabriz, Tabriz, Iran ;6.Department of Civil Engineering, Near East University, P.O. Box: 99138, Nicosia, North Cyprus, Mersin, Turkey ;7.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam ;8.Computer Science Department, College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq ;9.School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia ; |
| Abstract: | Water Resources Management - Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly... |
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