Indian Journal of Science and Technology
Year: 2012, Volume: 5, Issue: 4, Pages: 1-3
Ali Sorayaei *1 , M. R. Salimi2 and Masoumeh Seifi Divkolaii3
1 Faculty of Management, Babol Branch,
2Department of Computer Engineering,
3Member of Young Researchers Club of Qaemshahr, [email protected]*1
*Athour For Correspondence
Department of Computer Engineering
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 industry
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