|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|
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
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.