A Stock Market Prediction System Using Recurrent Neural Network

Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,596

This Paper With 5 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

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.

Authors

Leila Siahrang

Alzahra University

Saman Haratizadeh

University of Tehran

Behrouz Gholizadeh

Alzahra University