Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model-Reference-Cited by-同舟云学术

Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model

Published:2020-01-01 Issue:1 Volume:14 Page:323-338
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Malik Anurag¹^ORCID,Kumar Anil¹,Kim Sungwon²,Kashani Mahsa H.³,Karimi Vahid⁴,Sharafati Ahmad⁵^ORCID,Ghorbani Mohammad Ali⁴,Al-Ansari Nadhir⁶,Salih Sinan Q.⁷,Yaseen Zaher Mundher⁸^ORCID,Chau Kwok-Wing⁹

Affiliation:

1. Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar 263145, Uttarakhand, India

2. Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju 36040, Republic of Korea

3. Department of Water Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran

4. Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

5. Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

6. Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden

7. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

8. Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

9. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2020.1715845

Reference63 articles.

1. Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

2. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

3. Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs

4. Evaporation Research: Review and Interpretation

5. A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

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