Application of Back-Propagation Neural Network in Horoscope Prediction
Usha Sharma, Sanjeev Karmakar and Navita Shrivastava. Application of Back-Propagation Neural Network in Horoscope Prediction. International Journal of Applied Information Systems 11(2):8-15, July 2016. URL, DOI BibTeX
@article{10.5120/ijais2016451575, author = "Usha Sharma and Sanjeev Karmakar and Navita Shrivastava", title = "Application of Back-Propagation Neural Network in Horoscope Prediction", journal = "International Journal of Applied Information Systems", issue_date = "July 2016", volume = 11, number = 2, month = "Jul", year = 2016, issn = "2249-0868", pages = "8-15", numpages = 8, url = "http://www.ijais.org/archives/volume11/number2/906-2016451575", doi = "10.5120/ijais2016451575", publisher = "Foundation of Computer Science (FCS), NY, USA", address = "New York, 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.
Reference
- Tarsauliya, A., Kant, S., Kala, R., Tiwari, R., Shukla, A., 2010, “Analysis of Artificial Neural Network for Financial Time Series Forecasting”, International Journal of Computer Applications, 9 (5), 24-30.
- Peralta, J., Xiaodong Li, Gutierrez, G., and Sanchis, A., Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution, IEEE World Congress on Computational Intelligence July, 18-23, 2010. CCIB, Barcelona, Spain.
- Akintola, K.G., Alese ,B.K, Thomson, A.F.,2011, Time Series forecasting with neural network, IJRRAS, 9(3),
- Juan José Montaño Moreno, Alfonso Palmer Pol and Pilar Muñoz Gracia, 2011, Artificial neural networks applied to forecasting time series, Psicothema, 23, (2), pp. 322-329.
- Khan, Z, H., Alin, T.S., Hussain, A., 2011, Price Prediction of Share Market using Artificial Neural Network (ANN), J. Computer 22(2).
- Vrabe,M., Mankovaa, I., Benoa, J., Tuharskýa,J., 2012 Surface roughness prediction using artificial neural networks when drilling Udimet 720, Procedia Engineering 48 693 – 700.
- Devi, J. , Reddy, B.S.P., Kumar, K.V., Reddy, B.M., Nayak, N.R., 2012, ANN Approach for Weather Prediction using Back Propagation, J. Engineering Trends and Technology- 3(1).
- Donate, J.P., Li,X., 2013, Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm, Neural Comput & Applic 22 pp.,11–20.
- Sa, Y., and Bouroumi, A., Prediction of Forest Fires Using Artificial Neural Networks, 2013, Applied Mathematical Sciences, 7(6), 271 – 286
- Vieira, C. 2013 Forecasting Financial Marketing , Thesis, School of echo, and management, Lisbon,.
- Tamizharasi, G. Kathiresan, S. Sreenivasan, K.S., 2014, Energy Forecasting using Artificial Neural Networks, J. Advanced Research in Electrical, Electronics and Instrumentation Engineering 3(3).
- Malik, P., Singh, S., Arora, B., 2014 An Effective Weather Forecasting Using Neural Network, J. Emerging Engineering Research and Technology 2(2), p. 209-212.
- Patel, M.B. , Yalamalle, S.R , 2014, Stock Price Prediction Using Artificial Neural Network J. Innovative Research in Science, Engineering and Technology, 3(6).
- Rao, A.N., Rao, K.E. , 2014, Estimize Bull speed using Back propagation J. Modern Engineering Research (IJMER), 4(11).
- Kuna, K, Time Series Prediction Using Neural Networks , Masaryk Univ., Faculty of Informatics, Thesis, Brno, Spring 2015.
- Enyindah, P. Uzochukwu, C , 2016, A Neural Network Approach to Financial Forecasting , J. Computer Applications 135(8),
- Shah, V.V., Mirani, S.J. Nanavati, Y.V., Narayanan, V., Pereira. S.I., Stock Market Prediction using NeuralNetworks, 2016, J. Soft Computing and Engineering (IJSCE) 6 (1).
- Karmakar.S.,Shrivastava.G., and Kowar.M.K., 2014, Impact of Learning Rate and Momentum Factor in the Performance of Back-Propagation Neural Network to Identify Internal Dynamics of Chaotic Motion, Kuwait J.Sci,41(2),151-174
Keywords
Neural Network, Prediction, Back-propagation, Horoscope