Analysis and Design Novel Algorithm the Share Market Prediction Using MCNN

Authors

  • Anshul Sahu   Indore, India

Keywords:

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

Abstract

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.

References

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Published

2018-09-30

Issue

Section

Research Articles

How to Cite

[1]
Anshul Sahu , " Analysis and Design Novel Algorithm the Share Market Prediction Using MCNN, IInternational 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.