Rainfall Prediction using Linear Regression Model |
Author(s): |
| Arundhati T R , RMK Engineering College; Agalya S, RMK Engineering College; Annapoorani S S, RMK Engineering College; C Geetha, RMK Enginnering College |
Keywords: |
| Rainfall Prediction, Neural Network, Linear Regression, MATLAB, Greedy Forward Selection, Fuzzy Algorithm |
Abstract |
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Rainfall prediction is considered to be one of the important weather forecasting related research since rainfall heavily affects our nature and surroundings. Natural phenomenon such as flood, draught, weather indicators such as relative humidity, etc. are highly affected by rainfall. In the existing system, a hybrid neural network based two-step prediction model is developed. The training phase is developed by using a collection of datasets. Greedy forward selection algorithm is used for feature selection. In the proposed system fuzzy logic method is used. The fuzzy logic Algorithm is an influential algorithm for mining frequent item-sets for Boolean association rules. Rainfall occurrence dataset is collected through global predictions and which can be converted into a readable format through MATLAB commands. |
Other Details |
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Paper ID: IJSRDV7I10916 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1237-1240 |
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