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مقالات فارسیISIکنفرانسهاژورنالها

Forecasting the Price of Fruit Using Neural-fuzzy and ARIMA1 Systems

Publish place: The Second National Conference in Economic Management and Iranian Islamic Culture
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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لینک ثابت به این Paper:
https://civilica.com/doc/453993

شناسه ملی سند علمی:

VALIASR02_072

تاریخ نمایه سازی: 9 فروردین 1395

Abstract:

Using the two models of neural-fuzzy and ARIMA network the present research is to predict the price of different kinds of fruits (yellow apple, red apple and banana) in Ardebil province. For this purpose related data for the price of these fruits during the time period July, 2007 – August, 2010 has been used. Results from the research show that neural-fuzzy network model has offered better results than ARIMA model in predicting the price of under consideration fruits and has been able to predict future procedure of the price of these items with less error compared to ARIMA model

Keywords:

prices of protein items , neural-fuzzy networks , auto regressive moving average

Authors

Mirnaser Mirbagheri

Department of economics, Payame Noor University, PO BOX 19395-3697 Tehran, I.R of IRAN

Ebrahim Abdi

Department of economics, Payame Noor University, PO BOX 19395-3697 Tehran, I.R of IRAN

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  • Moshiri, Saeed, Predicting the Inflation in Iran Using the Structural, ...
  • Najafi, Bahaodding and Tarazkar, Mohammad Hassan, Predicting the Exports of ...
  • Boyd, M. and Kaastra, I.(1996), Designing a Neural Network for ...
  • Carbaugh, R. J. (1992). International Economies, Wadsworth Publishing Company. ...
  • Fuzzy Logic Toolbox Users Guide, 1998, Published by Math works, ...
  • Jang, J.S.R., and Sun, C.T., (1995), Neuro-Fuzzy Modelling and Control, ...
  • Haykin, S., (1999). Neural Networks: A Comprehensive Foundation, Prentice-Hall, . ...
  • Heravi, S., Osborn, D. R. and C. R. Birchenhall, (2004); ...
  • Jang, J.S.R...1993), ANNFIS: Adaptive -Network-B ased Fuzzy Infrence Systems, IEEE ...
  • Jang, J. R. and Sun, C. (1995). Nero Fuzzy Modelling ...
  • Jang, J.R., Sun, C. and Mizutani, E., (1997), Neuro-Fuzzy and ...
  • Kohzadi, N., Boyd, M. S., Kermanshahi, B. and L. Kaastra ...
  • Lippmann, R.P. (1987). An introduction o computing with neural nets, ...
  • Moshiri, S., Cameron, N. and D. Scuse (1999); Static, Dynamic, ...
  • Olson, D. and C. Mossman (2003); Neural network of Canadian ...
  • Tkacz, G., (2001); Neural Network Forecasting Of Canadian GDP Growth, ...
  • Tong, R. M. (1997). A control engineering review of fuzzy ...
  • Wang, L. X, Mendel J. M. (1992). Fuzzy basis functions, ...
  • Zimmemann, H.J..1997), "Fuzzy Sets Theory and Its Application", Third Edition, ...
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