ESTIMATION OF MAXIMUM, MEAN AND MINIMUM AIR TEMPERATURE IN TABRIZ CITY USING ARTIFICIAL INTELLIGENT METHODS

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GHORBANI M.A.; SHIRI J.; KAZEMI H.

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Journal: WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE) Year:2010 | Volume:20.1 | Issue:3 Page(s): 87-104

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Information Journal Paper

Title

ESTIMATION OF MAXIMUM, MEAN AND MINIMUM AIR TEMPERATURE IN TABRIZ CITY USING ARTIFICIAL INTELLIGENT METHODS

Author(s)

GHORBANI M.A. | SHIRI J. | KAZEMI H. | Issue Writer Certificate

Keywords

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMQ4

ARTIFICIAL NEURAL NETWORKSQ4

GENETIC PROGRAMMINGQ4

TABRIZ AIR TEMPERATUREQ3

Abstract

Estimating air temperature is one of the important issues in agricultural planning and in water resources management which can be accomplished by using different methods such as empirical, semi-empirical and intelligent methods. In the present study, ADAPTIVE NEURO FUZZY INFERENCE SYSTEM, ARTIFICIAL NEURAL NETWORKS and GENETIC PROGRAMMING were used to estimate air temperature in the synoptic station of Tabriz City, northwest of Iran. Considering the statistical indices, all three models were able to estimate accurately minimum, mean and maximum air temperature. In spite of slight differences in the prediction accuracy and errors by the models, ADAPTIVE NEURO FUZZY INFERENCE SYSTEM, ARTIFICIAL NEURAL NETWORKS and GENETIC PROGRAMMING were in the order of priority. Also explicit solutions that show the relation between input and output variables are presented based on GENETIC PROGRAMMING. This adds to the superiority of GENETIC PROGRAMMING over the other two models.

Cites

AN ASSESSMENT OF THE ANFIS AND GP TECHNIQUES IN PREDICTING HYDROLOGICAL DROUGHT FROM METEOROLOGICAL DROUGHT FOR THE SUFI-CHAI CATCHMENT

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APA: Copy

GHORBANI, M.A., SHIRI, J., & KAZEMI, H.. (2010). ESTIMATION OF MAXIMUM, MEAN AND MINIMUM AIR TEMPERATURE IN TABRIZ CITY USING ARTIFICIAL INTELLIGENT METHODS. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), 20.1(3), 87-104. SID. https://sid.ir/paper/147833/en

Vancouver: Copy

GHORBANI M.A., SHIRI J., KAZEMI H.. ESTIMATION OF MAXIMUM, MEAN AND MINIMUM AIR TEMPERATURE IN TABRIZ CITY USING ARTIFICIAL INTELLIGENT METHODS. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE)[Internet]. 2010;20.1(3):87-104. Available from: https://sid.ir/paper/147833/en

IEEE: Copy

M.A. GHORBANI, J. SHIRI, and H. KAZEMI, “ESTIMATION OF MAXIMUM, MEAN AND MINIMUM AIR TEMPERATURE IN TABRIZ CITY USING ARTIFICIAL INTELLIGENT METHODS,” WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), vol. 20.1, no. 3, pp. 87–104, 2010, [Online]. Available: https://sid.ir/paper/147833/en

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