Analysis and Design Novel Algorithm the Share Market Prediction Using MCNN

Authors(1) :-Anshul Sahu

Predicting stock prices has been a motivating research problem owed to its requirement on frequent variables. The Stock market development is complete of uncertainty and is precious by numerous factors. Therefore the most important part of the business and finance is a Stock market prediction. The level of complexity has formed a leaning towards added progressive methods in this field specifically. We have explained and analyzed the dissimilar prediction methods for stock prediction. In this survey paper to study and analysis existing research work and proposed a design novel algorithm the share market prediction using Modified Computational Neural Networks (MCNN) based on BPNN (Back Propagation neural network) filter in instruction to improve the stock price prediction.

Authors and Affiliations

Anshul Sahu
Indore, India

Deep learning, BPNN, Artificial neural network, Share Market Prediction.

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2018
Date of Publication : 2018-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 172-176
Manuscript Number : CSEIT183732
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Anshul Sahu , "Analysis and Design Novel Algorithm the Share Market Prediction Using MCNN", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.172-176, September-October-2018.
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