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Rainfall prediction generally requires reliable hydrological models as well as relevant information of meteorological and geographical data. In this paper, a model based on artificial neural networks (ANNs) and wavelet decomposition is proposed as a learning tool to predict consecutive daily rainfalls on accounts of the preceding events of rainfall data. Two sets of wavelet coefficients, for which...