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

Author

Du, Jiaxing ; Zhao, Bin ; Miao, Shaohui

Author_Institution

Yunnan TengChong Bur., Tengchong, China

Volume

1

fYear

2012

fDate

23-25 March 2012

Firstpage

313

Lastpage

317

Abstract

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.

Keywords

artificial immune systems; backpropagation; evolutionary computation; geophysics computing; rain; BP network algorithm; Tengchong; backpropagation; immune evolutionary algorithm; rainfall data training; rainfall prediction; Algorithm design and analysis; Artificial neural networks; Evolutionary computation; Immune system; Prediction algorithms; Predictive models; Training; BP network algorithm; immune evolutionary algorithm; parametric optimization; rainfall prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.146

Filename

6188156