DocumentCode :
2313798
Title :
Stock Price Prediction and Trend Prediction Using Neural Networks
Author :
Charkha, Pritam R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Marathwada Inst. of Technol., Aurangabad
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
592
Lastpage :
594
Abstract :
In this paper, I analyzed feed forward network using back propagation learning method with early stopping and radial basis neural network to predict the trend of stock price (i.e. classification) and to predict the stock price (i.e. value prediction). Fundamental data or Technical indicators were not used in this research as basic objective of this research was to determine the usability of artificial neural networks in predicting the future prices based on past prices alone.
Keywords :
backpropagation; feedforward neural nets; marketing data processing; pricing; artificial neural networks; back propagation learning method; feedforward network; radial basis neural network; stock price prediction; trend prediction; Artificial neural networks; Computer science; Feedforward neural networks; Feeds; Forward contracts; Neural networks; Neurons; Neutron spin echo; Notice of Violation; Stock markets; FFNN; MSE; RBFN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
Type :
conf
DOI :
10.1109/ICETET.2008.223
Filename :
4579969
Link To Document :
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