A Stock Market Prediction System Using Recurrent Neural Network

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.

کلیدواژه ها:

artificial intelligence ، stock price prediction ، recurrent neural network ، Elman neural network