A Stock Market Prediction System Using Recurrent Neural Network
Publish place: 9th International Industrial Engineering Conference
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC09_319
تاریخ نمایه سازی: 26 اسفند 1391
Abstract:
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.
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Authors
Leila Siahrang
Alzahra University
Saman Haratizadeh
University of Tehran
Behrouz Gholizadeh
Alzahra University