سال انتشار: ۱۳۹۱

محل انتشار: نهمین کنفرانس بین المللی مهندسی صنایع

تعداد صفحات: ۵

نویسنده(ها):

Leila Siahrang – Alzahra University
Saman Haratizadeh – University of Tehran
Behrouz Gholizadeh – Alzahra University

چکیده:

In this paper we propose a system to predict stock prices. The system is based on recurrent neural network. Specifically we use Elman neural network that is a kind of RNN. The system has been trained and tested on Iran Khodro company’s stock. The results have shown that the proposed system can be a promising solution for prediction in stock market.