Forecasting stock prices using financial data mining and Neural Network
The goal of this project is thus to experiment with ANNs and to evaluate performance of ANN models in studying stock price patterns in time by attempting to predict future results of a timeseries by simply studying patterns in the time-series of stock prices. In this project we have instantiated the proposed Neural Network using the stock prices of Iran Tractor Manufacturing Company during two years and the results of implementation is shown by proper diagrams. As a result we have shown more usability of data mining in decision making of stock market by selecting appropriate architecture to the Neural Network and preparing input data using required and relevant techniques and finally training the network using Back Propagation algorithm
ANN Training Time Series Data Mining Forcasting
Amir Omidi Esmaeil Nourani Mehdi Jalili
Department of Computer Engineering Islamic Azad University,Makoo Branch,Makoo,Iran Department of Computer Engineering Islamic Azad University,Kaleybar Branch,Kaleybar,Iran Department of Computer Engineering,Islamic Azad University,Soofian branch Soofian,Iran
国际会议
上海
英文
242-246
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）