COMPARISON OF ARTIFICIAL NEURAL NETWORK MODELS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PREDICTING THE DROUGHT MOND BASIN OF FARS PROVINCE

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ROSTAMI MAHNAZ; PAHLEVANRAVI AHMAD; MOGHADAM NIA ALIREZA

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Journal: JOURNAL OF NATURAL ENVIRONMENT HAZARDS Year:2016 | Volume:4 | Issue:6 Page(s): 21-32

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Title

COMPARISON OF ARTIFICIAL NEURAL NETWORK MODELS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PREDICTING THE DROUGHT MOND BASIN OF FARS PROVINCE

Author(s)

ROSTAMI MAHNAZ | PAHLEVANRAVI AHMAD | MOGHADAM NIA ALIREZA | Issue Writer Certificate

Keywords

DROUGHTQ2

ARTIFICIAL NEURAL NETWORKQ2

NEUROQ2

FUZZY INFERENCE SYSTEMQ2

SPI INDICATORSQ2

MOND BASINQ2

Abstract

DROUGHT has gripped a serious problem in many countries of the world. So great is the importance of DROUGHT prediction. In this research, performances ARTIFICIAL NEURAL NETWORKs (ANN) and Adaptive NEURO-Fuzzy Inference System (ANFIS) for DROUGHT Prediction Techniques in MOND BASIN of Fars Province have been comparatively evaluated on the basis of the monthly data for a 32-year period (1978-2012) including rainfall, temperature and DROUGHT indices SPI, the training data length of %70 and the testing data length of %30 were determined. After conducting prediction by using ANN and ANFIS models, the performances of these models were evaluated on the basis of statistical criteria of Nash index (E), correlation coefficient (R) and Root Mean Square Error (RMSE). The obtained results indicated higher accuracy of ANN model rather than ANFIS model in orther to DROUGHT Prediction Techniques in MOND BASIN of Fars Province.

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APA: Copy

ROSTAMI, MAHNAZ, PAHLEVANRAVI, AHMAD, & MOGHADAM NIA, ALIREZA. (2016). COMPARISON OF ARTIFICIAL NEURAL NETWORK MODELS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PREDICTING THE DROUGHT MOND BASIN OF FARS PROVINCE. JOURNAL OF NATURAL ENVIRONMENT HAZARDS, 4(6), 21-32. SID. https://sid.ir/paper/259188/en

Vancouver: Copy

ROSTAMI MAHNAZ, PAHLEVANRAVI AHMAD, MOGHADAM NIA ALIREZA. COMPARISON OF ARTIFICIAL NEURAL NETWORK MODELS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PREDICTING THE DROUGHT MOND BASIN OF FARS PROVINCE. JOURNAL OF NATURAL ENVIRONMENT HAZARDS[Internet]. 2016;4(6):21-32. Available from: https://sid.ir/paper/259188/en

IEEE: Copy

MAHNAZ ROSTAMI, AHMAD PAHLEVANRAVI, and ALIREZA MOGHADAM NIA, “COMPARISON OF ARTIFICIAL NEURAL NETWORK MODELS AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN PREDICTING THE DROUGHT MOND BASIN OF FARS PROVINCE,” JOURNAL OF NATURAL ENVIRONMENT HAZARDS, vol. 4, no. 6, pp. 21–32, 2016, [Online]. Available: https://sid.ir/paper/259188/en

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