Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test-Reference-Cited by-同舟云学术

Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test

Published:2021-01-01 Issue:1 Volume:15 Page:1075-1094
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,Tikhamarine Yazid²³,Al-Ansari Nadhir⁴,Shahid Shamsuddin⁵^ORCID,Sekhon Harkanwaljot Singh⁶,Pal Raj Kumar¹,Rai Priya⁷,Pandey Kusum⁸,Singh Padam⁹^ORCID,Elbeltagi Ahmed¹⁰,Sammen Saad Shauket¹¹^ORCID

Affiliation:

1. Punjab Agricultural University, Regional Research Station, Bathinda, Punjab, India

2. Southern Public Works Laboratory (LTPS), Tamanrasset, Algeria

3. Department of Science and Technology, University Centre of Tamanrasset, Tamanrasset, Algeria

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

5. School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

6. Department of Climate Change and Agricultural Meteorology, Punjab Agricultural University, Ludhiana, India

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

8. Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana, India

9. College of Forestry, Veer Chandra Singh Garhwali Uttarakhand University of Horticulture and Forestry, Ranichauri, Tehri Garhwal, Uttarakhand, India

10. Agricultural Engineering Dept., Faculty of Agriculture, Mansoura University, Mansoura, Egypt

11. Department of Civil Engineering, College of Engineering, Diyala University, Diyala 15 Governorate, Iraq

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2021.1942990

Reference89 articles.

1. Effluents quality prediction by using nonlinear dynamic block-oriented models: a system identification approach

2. Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts

3. Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering

4. Enhancing the performance of data-driven models for monthly reservoir evaporation prediction

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of groundwater level changes based on machine learning technique in highly groundwater irrigated alluvial aquifers of south-central Punjab, India;Physics and Chemistry of the Earth, Parts A/B/C;2024-10

2. Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images;Displays;2024-09

3. Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation;Journal of Hydrology;2024-08

4. Improving the daily pan evaporation estimation of long short-term memory and support vector regression models by using the Wild Horse Optimizer algorithm;Water Supply;2024-03-28

5. Improving the performance of a condensation water production system through support vector machine modeling and genetic algorithm optimization;Water Supply;2024-02-26