Volume 17, Issue 1 (2015)                   JAST 2015, 17(1): 1-10 | Back to browse issues page

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Mohaddes S A, Fahimifard S M. Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) in Forecasting Agricultural Products Export Revenues (Case of Iran’s Agriculture Sector). JAST. 17 (1) :1-10
URL: http://journals.modares.ac.ir/article-23-11445-en.html
1- Agriculture and Natural Resources Research Center of Khorasan Razavi, Mashhad, Islamic Republic of Iran.
2- Khorasan Razavi Chamber of Commerce, Industry, Mines and Agriculture, Mashhad, Islamic Republic of Iran.
Abstract:   (5850 Views)
In this study, application of Adaptive Neuro-Fuzzy Inference System (ANFIS) in forecasting three perspectives (1, 2, and 4 years) ahead of Iran’s agricultural products export was compared with ARIMA as the most common econometrics linear forecasting method. For this purpose, Iran’s agricultural products export revenues related to 1959-2010, and forecast performance measures such as R2, MAD, and RMSE were used. Results of the models performance evaluation showed that the forecasted test data related to ANFIS designed architects had more correspondence with the real data in comparison with that of ARIMA forecasted out of sample data. Therefore, the non-linear ANFIS model outperformed the linear ARIMA model for all of the considered perspectives. 
Keywords: ANFIS, ARIMA, Non-linear
Full-Text [PDF 269 kb]   (8522 Downloads)    
Article Type: Research Paper | Subject: Agricultural Economics
Received: 2013/05/4 | Accepted: 2014/05/7 | Published: 2015/01/1

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