DocumentCode :
3536154
Title :
Stock Prediction by Fuzzy Neural Networks
Author :
Karathiya, Manoj B. ; Sakshi, Diler Singh ; Sakshi, Ravinder Singh
Author_Institution :
M.C.A. Dept., G.T.U. Ahmadabad, Rajkot, India
fYear :
2012
fDate :
7-8 Jan. 2012
Firstpage :
79
Lastpage :
82
Abstract :
Stock prediction by neural network is developed based on fuzzy neural network technology using past stock data to determine fuzzy set of laws and construct potential predictions. Learning Algorithm is put into operation. Input data to every network are average of weekly stock data that acquired from any stock related URL such as http://www.moneycontrol.com. Out put recreated data are also average values of weekly stock data. After the data collected from web using any web search engine for the exact term, the system is qualified and then capable to formulate future predictions.
Keywords :
Internet; fuzzy neural nets; search engines; stock markets; fuzzy neural networks; fuzzy set; learning algorithm; stock data; stock prediction; web search engine; Expert systems; Fuzzy control; Fuzzy neural networks; Mathematical model; Neural networks; Prediction algorithms; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
Conference_Location :
Rohtak, Haryana
Print_ISBN :
978-1-4673-0471-9
Type :
conf
DOI :
10.1109/ACCT.2012.108
Filename :
6168337
Link To Document :
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