Rainfall prediction is challenging tasks in advanced world. Rainfall and climate is high non linearly and complex process, for their exact prediction it required modern computer simulation and modeling. It providing a research and survery of some methodologies on available literature to utilize various regression technique for prediction employed by many researchers. This model states which ‘rainfall prediction’ algorithm is suitable than outdated methods.
Keywords
Machine Learning, Neural Networks, Data visualization
Reference
[1] ADALINE system to weather forecasting, Technical Report, Stanford Electron, 1964
[2] Lee S. Cho S.& Wong P.M. “Rainfall prediction using artificial neural network. Geog. Inf. Decision Anal. 2, 233–242 1998.
[3] Michaelides, S. C., Neocleous, C. C. & Schizas, C. N. “Artificial neural networks and multiple linear regression in estimating missing rainfall data.” In Proceedings of the DSP95 International Conference on Digital Signal Processing, Limassol, Cyprus. pp 668–6731995.
Cites this article as
[Abhishek Prakhar , Akash Tripathi, Pradhyumn Srivastava , Ujjwal Gupta
(2018), Rainfall Prediction Using Machine Learning, International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-6, Page No-260-261], (ISSN 2347 - 5552). www.ijirem.org
Corresponding Author
Abhishek Prakhar
Department of Computer Science & Engg, G L Bajaj Institute of Technology & Management, Greater Noida, India