Abstract: Rainfall is a natural climatic phenomenon. Since the economy of India is highly dependent on agriculture , accuracy of rainfall forecasting is important. Accurate rainfall information is critical for the planning and management of water resources. Fluctuation in rainfall timing makes the rainfall prediction a challenging task. Climate and rainfall are highly nonlinear and complicated process. They required advanced computer modelling and simulation for their accurate prediction. ANN can be used to predict the behaviour of such nonlinear systems. Back propagation networks (BPN) are one of the most popular and effective model for complex and multi layered networks. This paper aims to provide a review of some methodologists employed by researchers to utilize Back Propagation based ANN for rainfall prediction.
Keywords: forecasting, simulation, ANN, BPN, multilayered network.
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