At the moment, weather forecasting is still an art-the experience and the intuition of forecasters play an significant role in determining the quality of the forecasting. The "human judgment" is still an indispensable part of a good forecasting. This paper describes the development of a new approach of rainfall forecasting by using neural network. All of these meteorology data are provided by Royal Observatory of Hong Kong (ROHK). The network architecture is based on a recurrent Sigma-Pi network. The results are very promising and this neural based rainfall forecasting system is capable of providing a reliable rain strom warning signal to the Hong Kong public in advance.
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