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Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall |
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| Authors: | Pham Quoc Bao Abba S. I. Usman Abdullahi Garba Linh Nguyen Thi Thuy Gupta Vivek Malik Anurag Costache Romulus Vo Ngoc Duong Tri Doan Quang |
| Affiliation: | 1.Department of Hydraulic and Ocean Engineering, National Cheng-Kung University, Tainan, 701, Taiwan ;2.Department of Physical Planning Development, Yusuf Maitama Sule University Kano, Kano, Nigeria ;3.Faculty of Pharmacy, Department of Analytical Chemistry, Near East University, 99138, Nicosia, Turkish Republic of Northern Cyprus ;4.Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam ;5.Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India ;6.Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India ;7.Research Institute of the University of Bucharest, 36-46 Bd. M. Kogalniceanu, 5th District, 050107, Bucharest, Romania ;8.National Institute of Hydrology and Water Management, Bucure?ti-Ploie?ti Road, 97E, 1st District, 013686, 10 Bucharest, Romania ;9.University of Science and Technology, The University of Danang, Danang, Vietnam ;10.Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam ; |
| Abstract: | Water Resources Management - One of the most challenging tasks in rainfall prediction is designing a reliable computational methodology owing the random and stochastic characteristics of... |
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