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Application of Back-Propagation Neural Network in Horoscope Prediction

by Usha Sharma, Sanjeev Karmakar, Navita Shrivastava
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 2
Year of Publication: 2016
Authors: Usha Sharma, Sanjeev Karmakar, Navita Shrivastava
10.5120/ijais2016451575

Usha Sharma, Sanjeev Karmakar, Navita Shrivastava . Application of Back-Propagation Neural Network in Horoscope Prediction. International Journal of Applied Information Systems. 11, 2 ( Jul 2016), 8-15. DOI=10.5120/ijais2016451575

@article{ 10.5120/ijais2016451575,
author = { Usha Sharma, Sanjeev Karmakar, Navita Shrivastava },
title = { Application of Back-Propagation Neural Network in Horoscope Prediction },
journal = { International Journal of Applied Information Systems },
issue_date = { Jul 2016 },
volume = { 11 },
number = { 2 },
month = { Jul },
year = { 2016 },
issn = { 2249-0868 },
pages = { 8-15 },
numpages = {9},
url = { https://www.ijais.org/archives/volume11/number2/906-2016451575/ },
doi = { 10.5120/ijais2016451575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:46.876506+05:30
%A Usha Sharma
%A Sanjeev Karmakar
%A Navita Shrivastava
%T Application of Back-Propagation Neural Network in Horoscope Prediction
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 2
%P 8-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study a back-propagation neural network model is designed and its parameters are optimized for prediction of horoscope to identify a person type. Person type is a dynamic system based on the planet system. It is found that the back-propagation neural network is capable to predict the person type by learning planet dataset. The model is trained up to model error (i.e., mean square error) 1.2864E-04 and performs excellent during training and testing process.

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Index Terms

Computer Science
Information Sciences

Keywords

Neural Network Prediction Back-propagation Horoscope

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