The dynamic immune forecasting method of the airdrome flight delay under considering the stochastic factors

摘要：

There are many uncertain stochastic factors in the process of the airdrome flight delay forecast, especially the cumulate diversification and propagation effect of the flight delays. The paper is on the base of the immune detection for the airdrome flight delay status, considering the dynamic diversification and stochastic factors of the airdrome flight delays. Propose the dynamic immune forecasting method of the airdrome flight delays under the stochastic factors and establish corresponding collection of self, detecting cells, the information of antigens and the matching model between them through setting up correspondence between the biological immune mechanism and flight operating mechanism. The result shows the method can forecast the count of flight delay in the next period of time accurately and has a good real-time characteristic.

关键词： flight delays stochastic factors negative selection algorithm dynamic forecasting

作者: Jianli Ding Xuesen Li Guansheng Tong

作者单位: College of Computer Science and Technology, Civil Aviation University of China, Tianjin, 300300, China Information Technology Research Base Civil Aviation Administration of China Tianjin 300300, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）