Rainfall Prediction Using Neural Fuzzy Technique

: This paper constructs numeral fuzzy rule bases with the aid of Self-organising Map (SOM) and Backpropagation Neural Networks (BPNNs). These fuzzy rule bases are then used to perform the spatial interpolation on the 367 rainfall data in Switzerland based on the information found in the nearby 100 locations. The SOM is first used to classify the data. After classification, BPNNs are then use to learn the generalization characteristics from the data within each cluster. Fuzzy rules for each cluster are then extracted. The fuzzy rules bases are then used for rainfall prediction.