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Survey: Stock Predictive Models Using Multilayer Perceptron

A. Rao1 , S. Hule2 , H. Shaikh3 , E. Nirwan4 , P. M. Daflapurkar5

Section:Survey Paper, Product Type: Journal Paper
Volume-4 , Issue-5 , Page no. 111-113, May-2016

Online published on May 31, 2016

Copyright © A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar, “Survey: Stock Predictive Models Using Multilayer Perceptron,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.5, pp.111-113, 2016.

MLA Style Citation: A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar "Survey: Stock Predictive Models Using Multilayer Perceptron." International Journal of Computer Sciences and Engineering 4.5 (2016): 111-113.

APA Style Citation: A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar, (2016). Survey: Stock Predictive Models Using Multilayer Perceptron. International Journal of Computer Sciences and Engineering, 4(5), 111-113.

BibTex Style Citation:
@article{Rao_2016,
author = {A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar},
title = {Survey: Stock Predictive Models Using Multilayer Perceptron},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {4},
Issue = {5},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {111-113},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=914},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=914
TI - Survey: Stock Predictive Models Using Multilayer Perceptron
T2 - International Journal of Computer Sciences and Engineering
AU - A. Rao, S. Hule, H. Shaikh, E. Nirwan , P. M. Daflapurkar
PY - 2016
DA - 2016/05/31
PB - IJCSE, Indore, INDIA
SP - 111-113
IS - 5
VL - 4
SN - 2347-2693
ER -

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Abstract

This paper comprehensively surveys the research work in the field of Stock Market Prediction Models that employ Multilayer Perceptron Feed-Forward Artificial Neural Networks. It examines the proposed and/or implemented predictive models by outlining the network configurations of the experimental setups as well as the methodologies utilized to train and improve their prediction accuracies.

Key-Words / Index Term

Artificial Neural Networks; Multilayer Perceptron; Back Propogation

References

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