Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions-Reference-Cited by-同舟云学术

Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions

Published:2019-01-01 Issue:1 Volume:13 Page:811-823
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Jing Wang¹²,Yaseen Zaher Mundher³^ORCID,Shahid Shamsuddin⁴^ORCID,Saggi Mandeep Kaur⁵,Tao Hai¹,Kisi Ozgur⁶,Salih Sinan Q.⁷,Al-Ansari Nadhir⁸,Chau Kwok-Wing⁹

Affiliation:

1. Department of Computer Science, Baoji University of Arts and Sciences, Shaanxi, People’s Republic of China

2. Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, Pahang, Malaysia

3. Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

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

5. Department of Computer Science, Thapar Institute of Engineering and Technology, Patiala, India

6. Faculty of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia

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

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

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/10.1080/19942060.2019.1645045

Reference79 articles.

1. Modeling daily evapotranspiration in hyper-arid environment using gene expression programming

2. Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran

3. Prediction Accuracy for Projectwide Evapotranspiration Using Crop Coefficients and Reference Evapotranspiration

4. Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation

Cited by 80 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. Yarı Kurak-Kurak İklim Koşullarında Bazı Ampirik Modeller Kullanılarak A Sınıfı Buharlaşma Kabından Gerçekleşen Günlük Buharlaşmanın Tahmin Edilmesi;Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2024-08-31

2. MAXIMIZING AGRICULTURAL WATER EFFICIENCY: INTEGRATING IOT AND SUPERVISED LEARNING FOR SMART IRRIGATION OPTIMIZATION;International Journal of Research -GRANTHAALAYAH;2024-07-05

3. Use of gene expression programming to predict reference evapotranspiration in different climatic conditions;Applied Water Science;2024-06-08

4. Smart irrigation for coriander plant: Saving water with AI and IoT;2024-06-03

5. Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data;Stochastic Environmental Research and Risk Assessment;2024-03-16