Estimation of daily pan evaporation using neural networks and meta-heuristic approaches

被引：33

作者：

Ashrafzadeh A. ^{[1
]}

Malik A. ^{[2
]}

Jothiprakash V. ^{[3
]}

Ghorbani M.A. ^{[4
,5
]}

Biazar S.M. ^{[4
]}

机构：

[1] Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht

[2] Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant, University of Agriculture and Technology, Pantnagar-263145, Uttarakhand

[3] Department of Civil Engineering, Indian Institute of Technology Bombay, Powai

[4] Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz

[5] Near East University

来源：

ISH Journal of Hydraulic Engineering | 2020年 / 26卷 / 04期

关键词：

Bio-inspired optimization; Daily weather data; Guilan Province; MLP-FA;

D O I：

10.1080/09715010.2018.1498754

中图分类号：

学科分类号：

摘要：

The present study attempts to integrate a bio-inspired optimization algorithm, the firefly algorithm (FA), into a neural network model to develop efficient models capable of estimating daily pan evaporation at two weather stations (Anzali and Astara) in northern Iran. The relative importance of input variables was determined using Gamma test. The proposed hybrid model was compared with multilayer perceptron (MLP), self-organizing feature map neural network (SOMNN), and support vector machine (SVM) models. The models were evaluated using performance criteria such as correlation coefficient, root mean square error (RMSE), and the Nash-Sutcliffe coefficient (NS). The density functions of the estimates were also evaluated. Results showed that for Anzali weather station, SOMNN model estimated pan evaporation better than other models, but for Astara weather station, the hybrid model estimated better. It was also observed that in the case of reproducing the standard deviation and the density functions of daily pan evaporation, MLP, SOMNN, and SVM models were quite comparable, but the hybrid model edged all models. It may be concluded that converting the simple MLP with FA makes it a powerful hybrid model for estimating pan evaporation. © 2018 Indian Society for Hydraulics.

引用

页码：421 / 429

页数：8

共 33 条

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