Rainfall Forecasting Using Artificial Neural Network: A Data Mining Approach

Provided by: International Journal of Engineering Sciences & Research Technology (IJESRT)
Topic: Networking
Format: PDF
Rainfall forecasting or weather forecasting has been one of the most challenging problems around the world because it consists of multidimensional and nonlinear data such as in the field of agriculture to determine initial growing season. Recently, climate change causes much trouble in rainfall forecasting. This paper describes five data mining algorithms namely Neural Network (NN), random forest, Classification and Regression Tree (CRT), Support Vector Machine (SVM) and k-nearest neighbor. Generally these algorithms are used for the prediction. In this paper rainfall forecasting using Artificial Neural Network (ANN) and Genetic Algorithm (GA) is made.

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