An application on the Immune Evolutionary Algorithm based on Back Propagation in the rainfall prediction

摘要：

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) Backpropagation 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.

关键词： BP network algorithm immune evolutionary algorithm parametric optimization rainfall prediction

作者: Jiaxing Du Bin Zhao Shaohui Miao

作者单位: Yunnan TengChong Bureau Tengchong 679100, China Yunnan Meteorological Training Center Kunming 650034,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 313-317

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）