شماره ركورد كنفرانس :
4360
عنوان مقاله :
A Stock Market Prediction System Using Recurrent Neural Network
پديدآورندگان :
Siahrang Leila Alzahra University , Haratizadeh Saman University of Tehran , Gholizadeh Behrouz Alzahra University
كليدواژه :
artificial intelligence , stock price prediction , recurrent neural network , Elman neural network
عنوان كنفرانس :
نهمين كنفرانس بين المللي مهندسي صنايع
چكيده فارسي :
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.
