Performance comparison of GP, ANN, BCSD and SVM models for temperature simulation

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TABATABAEI S.M.; NAZERI TAHROUDI M.; DASTOURANI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF METEOROLOGY AND ATMOSPHERIC SCIENCES (JMAS) Year:2018 | Volume:1 | Issue:1 Page(s): 53-64

Download Full-Text

Persian Verion

View:

514

Download:

Cites:

Information Journal Paper

Title

Performance comparison of GP, ANN, BCSD and SVM models for temperature simulation

Author(s)

TABATABAEI S.M. | NAZERI TAHROUDI M. | DASTOURANI M. | Issue Writer Certificate

Keywords

Genetic programing

Climate Change

Modeling

Support Vector Machines

Abstract

In this study, GP, ANN, BCSD and SVM were used to evaluate the performance of simulation models. The Modeling based on the large scale data of atmospheric general circulation and the mean daily temperature of the Ahwaz synoptic station was conducted during the period of 1971-2004, and the evaluation of each model was based on the correlation coefficient and Modeling error between simulated and observational data. The results of Modeling indicated that the correlation coefficient between observation and simulation data in the SVM model is more than in other models, and its value is 0. 9960. The correlation coefficient for the GP, ANN and BCSD models is equal to 0. 9393, 0. 9384, and 0. 4936 respectively. Moreover, the results of the evaluation of the simulation error were calculated using the RMSE and NSE criteria for SVM to be 0. 677 and 0. 955 degrees Celsius respectively. Similarly, these values are 1. 644 and 0. 969 for GP, 1. 657 and 0. 968 for ANN, and 6. 174 and 0. 661 for BCSD. Therefore, SVM has better performance in Modeling the mean daily temperature than other methods, and Modeling the mean daily temperature by the BCSD method is less accurate than other methods. The GP method has a weak advantage over ANN, and it is recommended to use the minimum and maximum temperatures for the more precise performance of these two models.

Cites

No record.

References

No record.

Cite

APA: Copy

TABATABAEI, S.M., NAZERI TAHROUDI, M., & DASTOURANI, M.. (2018). Performance comparison of GP, ANN, BCSD and SVM models for temperature simulation. JOURNAL OF METEOROLOGY AND ATMOSPHERIC SCIENCES (JMAS), 1(1 ), 53-64. SID. https://sid.ir/paper/268650/en

Vancouver: Copy

TABATABAEI S.M., NAZERI TAHROUDI M., DASTOURANI M.. Performance comparison of GP, ANN, BCSD and SVM models for temperature simulation. JOURNAL OF METEOROLOGY AND ATMOSPHERIC SCIENCES (JMAS)[Internet]. 2018;1(1 ):53-64. Available from: https://sid.ir/paper/268650/en

IEEE: Copy

S.M. TABATABAEI, M. NAZERI TAHROUDI, and M. DASTOURANI, “Performance comparison of GP, ANN, BCSD and SVM models for temperature simulation,” JOURNAL OF METEOROLOGY AND ATMOSPHERIC SCIENCES (JMAS), vol. 1, no. 1 , pp. 53–64, 2018, [Online]. Available: https://sid.ir/paper/268650/en

Related Journal Papers