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Salimi, M. R.
- Probing Efficiency Scale of Fuzzy Neural Network on forecasting Stock Exchange of the Automobile Industries in Iran
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Authors
Affiliations
1 Faculty of Management, Babol Branch, Islamic Azad University, Babol, IR
2 Department of Computer Engineering, University of Kasra ramsar, Ramsar, IR
3 Young Researchers Club of Qaemshahr, Qaemshahr, IR
1 Faculty of Management, Babol Branch, Islamic Azad University, Babol, IR
2 Department of Computer Engineering, University of Kasra ramsar, Ramsar, IR
3 Young Researchers Club of Qaemshahr, Qaemshahr, IR
Source
Indian Journal of Science and Technology, Vol 5, No 4 (2012), Pagination: 2590-2592Abstract
There are several approaches to the treatment of predicting the risk of invest in stock exchange. In this paper we presented fuzzy network model in the base of data from Iranian stock exchange organization and then we compare our results with other models to forecast the stock value of main automobile industries in Iran. This method is not only precise and simple, but also intelligent, with the predicted results well agreeing with the practical conditions. Therefore, this method can be applied to the relevant financial investigation projects both institutionally and personally with satisfactory results but indicate the bubble growth of stock exchange of Iran automobile industries.Keywords
Stock Exchange, Fuzzy Neural Network, Automobile IndustryFull Text
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