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Analyzed Neural Network based Prediction Model for Infosys and TCS
Neural Network is a part of Artificial Intelligence. It is very emerging and promising technology to predict data in terms of numeric data, text data, image data, audio data and video data and found that neural network is very use full in all fields as compare to others. In this, we studied and applied two more important algorithms of Artificial Neural Network called Feed Forward and Back Propagation on stock price prediction of TCS and Infosys from National Stock Exchange (NSE) of India after that compared between Feed Forward Algorithm’s and Back Propagation Algorithm’s results with different size of dataset. After that we compared and found Back Propagation has a better prediction accuracy than Feed Forward.
Keywords- Artificial Intelligence, Neural Network, Stock Market, Feed-Forward Neural Network, Back-Propagation Neural Network
Unique Identification Number - IJEDR2001071Page Number(s) - 380-384Pubished in - Volume 8 | Issue 1 | January 2020DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Vivek Mishra,   "Analyzed Neural Network based Prediction Model for Infosys and TCS"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.380-384, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001071.pdf