Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran-Reference-Cited by-同舟云学术

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Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

Published:2018-01 Issue:1 Volume:12 Page:584-597
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Moazenzadeh Roozbeh¹^ORCID,Mohammadi Babak²^ORCID,Shamshirband Shahaboddin³⁴^ORCID,Chau Kwok-wing⁵

Affiliation:

1. Department of Water Engineering, Shahrood University of Technology, Shahrood, Iran

2. Department of Irrigation and Reclamation, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran

3. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

4. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

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

Publisher

Informa UK Limited

Subject

Modelling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2018.1482476

Reference41 articles.

1. Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir

2. SVR-based prediction of evaporation combined with chaotic approach

3. A split-step particle swarm optimization algorithm in river stage forecasting

4. A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model

5. Methods to improve the neural network performance in suspended sediment estimation

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