Application of gene expression programming to predict daily dew point temperature

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• 作者：Saeid Mehdizadeh ^{saied.mehdizadeh@gmail.com} ; Javad Behmanesh ; ^{j.behmanesh@urmia.ac.ir} ; Keivan Khalili ^{khalili2006@gmail.com}
• 关键词：Daily dew point temperature ; Gene expression programming (GEP) ; Meteorological data ; Estimation
• 刊名：Applied Thermal Engineering
• 出版年：2017
• 出版时间：5 February 2017
• 年：2017
• 卷：112
• 期：Complete
• 页码：1097-1107
• 全文大小：7717 K
• 卷排序：112

文摘

The ability of GEP was investigated to estimate daily dew point temperature. Three types of scenarios were utilized to develop the different GEP models. Actual vapor pressure was effective parameter in estimating dew point temperature. Dew point temperature can be estimated using adjacent station data and GEP.