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Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines
Abstract
In this study, the support vector machines (SVMs) have been used for the estimation of monthly mean ambient
temperature in Elazığ (38.41˚ N, 39.14˚ E), Turkey. The model was trained and tested for four years (2002-2005)
of some monthly mean meteorological values. Inputs of the network were relative humidity, local pressure,
vapour pressure, and wind velocity monthly values and the output was the monthly mean outdoor temperature.
The efficiency of the proposed method was demonstrated by using the 4-fold cross validation test. The proposed
SVM model produced the most accurate results for partition 4 that’s why the minimum root-mean squared
(RMS), coefficient of variation (COV) and mean error function (MEF) and maximum coefficient of multiple
determinations (R2) values were obtained for these partitions. It is found that RMS value is 0.7691, the R2 value
is 0.9980, COV value is 5.5586, and MEF value is 1.6339 for partition 4. These results testify that the SVM can
be a valuable tool for monthly ambient temperature prediction in particular and other meteorological predictions
in general.
Keywords
Details
Primary Language
English
Subjects
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Journal Section
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Publication Date
March 1, 2016
Submission Date
March 1, 2016
Acceptance Date
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Published in Issue
Year 2016 Volume: 11 Number: 1
APA
Esen, H., & Sengur, A. (2016). Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines. Turkish Journal of Science and Technology, 11(1), 1-7. https://izlik.org/JA37FH26PU
AMA
1.Esen H, Sengur A. Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines. TJST. 2016;11(1):1-7. https://izlik.org/JA37FH26PU
Chicago
Esen, H., and A. Sengur. 2016. “Estimation of Monthly Mean Ambient Temperatures With Support Vector Machines”. Turkish Journal of Science and Technology 11 (1): 1-7. https://izlik.org/JA37FH26PU.
EndNote
Esen H, Sengur A (March 1, 2016) Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines. Turkish Journal of Science and Technology 11 1 1–7.
IEEE
[1]H. Esen and A. Sengur, “Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines”, TJST, vol. 11, no. 1, pp. 1–7, Mar. 2016, [Online]. Available: https://izlik.org/JA37FH26PU
ISNAD
Esen, H. - Sengur, A. “Estimation of Monthly Mean Ambient Temperatures With Support Vector Machines”. Turkish Journal of Science and Technology 11/1 (March 1, 2016): 1-7. https://izlik.org/JA37FH26PU.
JAMA
1.Esen H, Sengur A. Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines. TJST. 2016;11:1–7.
MLA
Esen, H., and A. Sengur. “Estimation of Monthly Mean Ambient Temperatures With Support Vector Machines”. Turkish Journal of Science and Technology, vol. 11, no. 1, Mar. 2016, pp. 1-7, https://izlik.org/JA37FH26PU.
Vancouver
1.H. Esen, A. Sengur. Estimation of Monthly Mean Ambient Temperatures with Support Vector Machines. TJST [Internet]. 2016 Mar. 1;11(1):1-7. Available from: https://izlik.org/JA37FH26PU