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

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

Accurate simulation of evaporation plays an important role in the efficient management of water Resources. Generally, evaporation is measured using the direct method where Class A pan-evaporimeter is used, and an indirect method that includes empirical equations. However, despite its widespread usag...

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Bibliographic Details
Main Authors: Mohammad Ali Ghorbani, Reza Kazempour, Kwok-Wing Chau, Shahaboddin Shamshirband, Pezhman Taherei Ghazvinei
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
QPSO
forecasting
hybrid model
pan evaporation
PSO
Online Access:http://dx.doi.org/10.1080/19942060.2018.1517052

Internet

http://dx.doi.org/10.1080/19942060.2018.1517052

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