DocumentCode
3070115
Title
The Weather Prediction Method Based on Artificial Immune System
Author
Weiguo, Xiang
Author_Institution
Coll. of Atmos. Sci., Chengdu Univ. of Inf. & Technol. (CUIT), Chengdu, China
Volume
2
fYear
2010
fDate
16-18 July 2010
Firstpage
386
Lastpage
389
Abstract
In order to get higher weather prediction efficiency, this paper put forth an immune learning algorithm that simulates biological immune system learning mechanism to apply it in weather prediction. This paper defines the expression methods of antigen and B cells, illustrates the calculation method of affinity between antigen and B cell, describes the clone, variation, dynamic evolution and the generation process memory cell, and establishes weather prediction system based on artificial learning algorithm. Simulation experiment shows that compared with tradition weather prediction system based on neural network, this system has higher prediction accuracy and is a new solution for weather prediction.
Keywords
artificial immune systems; atmospheric techniques; evolutionary computation; geophysics computing; learning (artificial intelligence); weather forecasting; B cells; antigen; artificial immune system; biological immune system learning mechanism; dynamic evolution; generation process memory cell; weather prediction method; Artificial immune systems; Artificial neural networks; Cloning; Learning systems; Weather forecasting; artificial immune system; immune learning algorithm; weather prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.227
Filename
5634763
Link To Document