Committee of artificial neural networks for monthly rainfall prediction using wavelet transform

The importance of long-range prediction of rainfall pattern for devising and planning agriculture strategies cannot be overemphasized. Prediction of rainfall pattern remains a difficult problem and the desired level of accuracy has not been reached. In this paper, a committee of artificial neural networks (ANNs) based model with wavelet decomposition is proposed for prediction of monthly rainfall on accounts of the preceding events of rainfall data. Wavelet transform is used for extraction of approximate and detail coefficient of the rainfall data series. These coefficients are used along with a ANN for learning and knowledge extraction processes. The model has been tested on rainfall data for different geographical region of India and also for entire country. The proposed model is capable of forecasting monthly rainfall one month in advance.