Arid
DOI10.1016/j.compag.2018.08.029
On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran
Attar, Nasrin Fathollahzadeh; Khalili, Keivan; Behmanesh, Javad; Khanmohammadi, Neda
通讯作者Khalili, Keivan
来源期刊COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
EISSN1872-7107
出版年2018
卷号153页码:334-346
英文摘要

Owing to the importance of dew point temperature (T-dew) as a determining factor in hydrological parameters, especially water vapor and evaporation, we aim for the estimation of T-dew by three different computational models including gene expression programming (GEP), multivariate adaptive regression splines (MARS), and support vector machine (SVM) models to establish their reliability. Three different data divisions were defined as extreme values and were taken as input data for examining the reliability of these models in predicting T-dew using the coefficient of determination (R-2), the root mean square error (RMSE) and the Akaike information criterion (AIC). In this study, thirteen synoptic stations in arid regions of Iran were selected, representing a period of 55 years from 1960 to 2014. Nine of the stations were used for training stages of the study, and the remaining for testing stages. T-dew were taken as the function of several parameters, such as the maximum temperature (T-max), the minimum temperature (T-mim), the relative humidity (R-H), the wind speed (W), the atmospheric pressure (P) and the sunshine hours (n). We found that the MARS model agrees well with observed data in predicting the T-dew when compared with other used methods.


英文关键词Arid regions of Iran Support vector machine (SVM) Multivariate adaptive regression splines (MARS) Gene expression programming (GEP) Dew point temperature
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000446284900034
WOS关键词SOLAR-RADIATION ; MINIMUM TEMPERATURE ; PREDICTION ; REGRESSION ; EVAPOTRANSPIRATION ; HUMIDITY ; MODELS ; MARS ; GEP ; AIR
WOS类目Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/208472
作者单位Urmia Univ, Water Engn Dept, Orumiyeh, Iran
推荐引用方式
GB/T 7714
Attar, Nasrin Fathollahzadeh,Khalili, Keivan,Behmanesh, Javad,et al. On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran[J],2018,153:334-346.
APA Attar, Nasrin Fathollahzadeh,Khalili, Keivan,Behmanesh, Javad,&Khanmohammadi, Neda.(2018).On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran.COMPUTERS AND ELECTRONICS IN AGRICULTURE,153,334-346.
MLA Attar, Nasrin Fathollahzadeh,et al."On the reliability of soft computing methods in the estimation of dew point temperature: The case of arid regions of Iran".COMPUTERS AND ELECTRONICS IN AGRICULTURE 153(2018):334-346.
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