Author:
Praveena R,Babu T R Ganesh,Birunda M,Sudha G,Sukumar P,Gnanasoundharam J
Abstract
Abstract
Rainfall prediction has a major effect on human civilization and is one of the most difficult, unpredictable activities. Precise and accurate predictions will help to rising human and financial risks pro-actively. This work presents a current supervised learning models of machine learning to focused on the Rainfall Prediction. Rainfall is also a significant issue in the planet because it impacts any single aspects that relies on the human being. Unpredictable and reliable estimation of rainfall is a challenging job today. In this work, gives a maximum outcome and a stronger forecast for rainfall using logistic regression and support Vector Machine (SVM) classifier for better prediction.
Subject
Computer Science Applications,History,Education
Reference20 articles.
1. Rainfall prediction using artificial neural networks;Lee;Journal of geographic information and Decision Analysis,1998
2. Monthly rainfall prediction using wavelet neural network analysis;Ramana;Water resources management,2013
3. All India summer monsoon rainfall prediction using an artificial neural network;Sahai;Climate dynamics,2000
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献