سال انتشار: ۱۳۹۰

محل انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی

تعداد صفحات: ۹

نویسنده(ها):

H Babaee – Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol 47135-484, Iran
A khosravi – Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol 47135-484, Iran
A Alfi – Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood 36199-95161, Iran

چکیده:

In this paper, forecasting steps of foreign currency exchange rate (FOREX) utilizing neural network is proposed and assessed. At first the concept of foreign exchange market is introduced and the influence aspects in forecasting FOREX are addressed. In this regard, the neural network is described as a powerful tool for modeling the market. The process of modeling is represented step by step. Finally, the prediction market with artificial model is analyzed and its applicability and beneficially of the proposed method is shown