Machine Learning Techniques for Rainfall Prediction Using Neural Network

J. Refonaa, M. Lakshmi, S. Dhamodaran, T. Pradeep

Journal of Computational and Theoretical Nanoscience · 2019 · 20 citations · 0 references

Concepts

Abstract

Rainfall prediction accuracy in meteorological department is still a major research area. Accuracy in prediction of rainfall may help in knowing heavy rainfall prior and preventing disasters. This mainly associated with economy and human life. There is necessary for efficient prediction system to identify drought and flood prior, so that people and government can get prepared for any disaster. Our country economy are mainly depends on agriculture, there is a great importance for rainfall prediction in India. Dynamics in atmosphere is the major cause for failure of existing statistical techniques for rainfall prediction. Taking these in consideration, we propose, Neural network based rain fall prediction for better showing better performance. We exploit machine learning, in which neural network model is used from Keras package available in Python. The objective of the work is to make this model more reliable for non-technical persons.