DAILY PRECIPITATION FORCASTING USING ARTIFICAL NEURAL NETWORKS IN THE PROVINCE OF KERMAN: A CASE STUDY OF STATIONS OF KERMAN, BAFT, AND MIANDEH JIROFT

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OMIDVAR KAMAL; NABAVI ZADEH MASSOOMEH

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Journal: Journal of Geography and Regional Development Year:2015 | Volume:12 | Issue:23 Page(s): 197-214

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Title

DAILY PRECIPITATION FORCASTING USING ARTIFICAL NEURAL NETWORKS IN THE PROVINCE OF KERMAN: A CASE STUDY OF STATIONS OF KERMAN, BAFT, AND MIANDEH JIROFT

Author(s)

OMIDVAR KAMAL | NABAVI ZADEH MASSOOMEH | Issue Writer Certificate

Keywords

PRECIPITATION FORECASTINGQ2

PERCEPTRON NEURAL NETWORKSQ2

RADIAL BASIS FUNCTION NEURAL NETWORKSQ2

KERMANQ1

BAFTQ2

MIANDEH JIROFTQ2

Abstract

INTRODUCTION: Precipitation is one of the important parameters of climatology and atmospheric science that has high importance in human life.PRECIPITATION FORECASTING has an important role in management and warning of this problem. Due to the interaction of various meteorological parameters in the calculation of rain, it leads it to a very irregular and chaotic process.Today, Artificial Neural Networks is a developed method that is applied for estimatationand prediction of parameters using intrinsic relations among data.

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APA: Copy

OMIDVAR, KAMAL, & NABAVI ZADEH, MASSOOMEH. (2015). DAILY PRECIPITATION FORCASTING USING ARTIFICAL NEURAL NETWORKS IN THE PROVINCE OF KERMAN: A CASE STUDY OF STATIONS OF KERMAN, BAFT, AND MIANDEH JIROFT. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, 12(23), 197-214. SID. https://sid.ir/paper/99014/en

Vancouver: Copy

OMIDVAR KAMAL, NABAVI ZADEH MASSOOMEH. DAILY PRECIPITATION FORCASTING USING ARTIFICAL NEURAL NETWORKS IN THE PROVINCE OF KERMAN: A CASE STUDY OF STATIONS OF KERMAN, BAFT, AND MIANDEH JIROFT. JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT[Internet]. 2015;12(23):197-214. Available from: https://sid.ir/paper/99014/en

IEEE: Copy

KAMAL OMIDVAR, and MASSOOMEH NABAVI ZADEH, “DAILY PRECIPITATION FORCASTING USING ARTIFICAL NEURAL NETWORKS IN THE PROVINCE OF KERMAN: A CASE STUDY OF STATIONS OF KERMAN, BAFT, AND MIANDEH JIROFT,” JOURNAL OF GEOGRAPHY AND REGIONAL DEVELOPMENT, vol. 12, no. 23, pp. 197–214, 2015, [Online]. Available: https://sid.ir/paper/99014/en

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