DocumentCode :
584871
Title :
A stock market prediction model using Artificial Neural Network
Author :
Abhishek, Kumar ; Khairwa, A. ; Pratap, T. ; Prakash, Sachin
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Patna, Patna, India
fYear :
2012
fDate :
26-28 July 2012
Firstpage :
1
Lastpage :
5
Abstract :
The use of Neural networks has found a variegated field of applications in the present world. This has led to the development of various models for financial markets and investment. This paper represents the idea how to predict share market price using Artificial Neural Network with a given input parameters of share market. Artificial Neural Network can remember data of any number of years and it can predict the feature based on the past data. This paper makes use feed forward architecture for prediction. The network was trained using one year data. It shows a good performance for market prediction. The network selected though was not able to predict exact value but it succeeded in prediction the trends of stock market.
Keywords :
investment; neural nets; prediction theory; pricing; stock markets; time series; artificial neural network; feed forward architecture; financial markets; investment; market price; stock market prediction model; time series; Artificial Neural Network; Feed Forward Network; Stock Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICCCNT.2012.6396089
Filename :
6396089
Link To Document :
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