Title :
The Weather Prediction Method Based on Artificial Immune System
Author_Institution :
Coll. of Atmos. Sci., Chengdu Univ. of Inf. & Technol. (CUIT), Chengdu, China
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;
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
DOI :
10.1109/IFITA.2010.227