ARCHIVES

1.M. M. Ali, P. S. V. Jagadeesh, I. Lin, and Je-Yuan Hsu, “A Neural Network Approach to Estimate Tropical Cyclone Heat Potential in the
Indian Ocean”, IEEE Geosciences and Remote Sensing Letters, Vol. 9, No. 6, Nov 2012, pp 1114-1117.
2.Lee, S., Cho, S.& Wong, P.M., (1999): Rainfall prediction using artificial neural network. ― J. Geog. Inf. Decision Anal. 2, 233–242 1998.
[10] Wong, K. W., Wong, P. M., Gedeon, T. D. & Fung, C. C. ―Rainfall Prediction Using Neural Fuzzy Technique.
3.Kotu, Vijay and BalaDeshpande, Predictive analytics and data mining: concepts and practice with rapid miner, Morgan Kaufmann, 2014.
4.Basu Sujit & Andharia H I, 1992, “The Chaotic time series of Indian Monsoon rainfall and its prediction”, Proc. Indian Acad. Sci., Vol.
101, No. 1, pp 27-34
5.Jones, C., Peterson, 1999, “A New Method for Deriving Ocean Surface Specific Humidity and Air Temperature: An Artificial Neural Network
Approach”, J. Applied Meteorology, American Meteorological Society, 38, 1229-1245.
6. Guhathakurta, P., 1999, “A Short Term Prediction Model for Surface Ozone at Pune: Neural Network Approach”, Vayu Mandal, Special
issue on Asian monsoon and pollution over the monsoon environment, 29(1-4), 355-358.
7.Guhathakurta, P., 1999, “A Neural Network Model for Short Term Prediction of Surface Ozone at Pune”, Mausam, 50(1), 91-98.
8.Toth E. *, Brath A., Montanari A., 2000, “Comparison of short-term rainfall prediction models for real-time flood forecasting”, Journal of
Hydrology, Elsevier, 239, pp. 132 147
9.Chaudhuri Sutapa, Chattopadhyay Surajit, 2005, “Neuro-computing based short range prediction of some meteorological parameters during
the pre-monsoon season”, Springer-Verlag, 9, pp. 349–354.
10. Shashank Singh School of Computer Science and Engineering Galgotias University Greater Noida, India
shashank_singh8.scsebtech@galgotias uni versity.edu.in