A study on FOREX forecasting steps utilizing neural network model
عنوان مقاله: A study on FOREX forecasting steps utilizing neural network model
شناسه ملی مقاله: SASTECH05_200
منتشر شده در پنجمین کنفرانس بین المللی پیشرفت های علوم و تکنولوژی در سال 1390
شناسه ملی مقاله: SASTECH05_200
منتشر شده در پنجمین کنفرانس بین المللی پیشرفت های علوم و تکنولوژی در سال 1390
مشخصات نویسندگان مقاله:
H Babaee - Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol ۴۷۱۳۵-۴۸۴, Iran
A khosravi - Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol ۴۷۱۳۵-۴۸۴, Iran
A Alfi - Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood ۳۶۱۹۹-۹۵۱۶۱, Iran
خلاصه مقاله:
H Babaee - Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol ۴۷۱۳۵-۴۸۴, Iran
A khosravi - Faculty of Electrical and Computer Engineering, Noushirvani University of Technology, Babol ۴۷۱۳۵-۴۸۴, Iran
A Alfi - Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood ۳۶۱۹۹-۹۵۱۶۱, Iran
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
کلمات کلیدی: Foreign currency exchange rate, Artificial neural network, Forecasting
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/157495/