An Application on the Immune Evolutionary Algorithm Based on Back Propagation in the Rainfall Prediction

The authors try to introduce the immune evolutionary algorithm for optimizing on the basis of the BP network algorithm, which sets up a model of the immune evolutionary algorithm based on (BP) Back propagation network. The algorithm is used to train for the network model with the rainfall data from June to August in 1971-2000 in Tengchong. The trained network model is used to predict the rainfall from June to August in 2001-2010 in Tengchong. At the same time, the authors compare the predicted result with that of BP network algorithm model. The result shows that the algorithm has not only higher accuracy but also better stability.