Annual Rainfall Forecasting Using Hybrid Artificial Intelligence Model: Integration of Multilayer Perceptron with Whale Optimization Algorithm-Reference-Cited by-同舟云学术

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Annual Rainfall Forecasting Using Hybrid Artificial Intelligence Model: Integration of Multilayer Perceptron with Whale Optimization Algorithm

Published:2020-01 Issue:2 Volume:34 Page:733-746
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Diop Lamine,Samadianfard Saeed,Bodian Ansoumana,Yaseen Zaher Mundher,Ghorbani Mohammad Ali,Salimi Hana

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-019-02473-8.pdf

Reference37 articles.

1. Babovic V (2005) Data mining in hydrology. Hydrological Processes: An International Journal 19(7):1511–1515

2. Bawa KS, Seidler R (2015) Deforestation and sustainable mixed-use landscapes: a view from the eastern Himalaya1. Ann Mo Bot Gard 100:141–149. https://doi.org/10.3417/2012019

3. Chadalawada J, Havlicek V, Babovic V (2017) A genetic programming approach to system identification of rainfall-runoff models. Water Resour Manag 31(12):3975–3992

4. Cramer S, Kampouridis M, Freitas AA (2018) Decomposition genetic programming: an extensive evaluation on rainfall prediction in the context of weather derivatives. Appl Soft Comput 70:208–224. https://doi.org/10.1016/j.asoc.2018.05.016

5. Danandeh Mehr A, Nourani V, Karimi Khosrowshahi V, Ghorbani MA (2018) A hybrid support vector regression–firefly model for monthly rainfall forecasting. Int J Environ Sci Technol 16:335–346. https://doi.org/10.1007/s13762-018-1674-2

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