On the Predictability of Rainfall in Western Maharashtra-An Application of RBF Neural Network

A time series is a sequence of data points, measured typically at successive times, spaced at (often uniform) time intervals. Time series forecasting is the use of a model to forecast future events based on known past events: to forecast future data points before they are measured. Rain fall may the oldest time series and human being always keep analyzing the rainfall time series by various means.Neural networks are applicable in virtually every situation in which a relationship between the predictor variables and predicted variables exists, even when that relationship is very complex and not easy to articulate in the usual terms of correlations or differences between groups. This work is an attempt to determine the best learning rule and activation function for the rainfall forecasting using radial basis function (RBF).