Threat Assessment Based on Variable Parameter Dynamic Bayesian Network

摘要：

To resolve the key issue of uncertainty knowledge representation in the process of establishing threat assessment system, a variable-parameter dynamic Bayesian network for threat assessment is proposed. A self-adaptive assessment system based on variable-parameter dynamic Bayesian network is presented. And a novel threat assessment optimization algorithm based on variable-parameter dynamic Bayesian network is developed, which achieves the goal of learning variable parameters by on-line data mining techniques. The experimental results demonstrate that, using real-time data, the presented approach can modify the threat assessment knowledge repository dynamically, which leads the assessment model to a better adaptability for producing more accurate assessment results.

关键词： Threat Assessment Dynamic Bayesian Network Variable Parameter Self-adaptive

作者: HOU Yongyan GUO Wenqiang ZHU Zoe

作者单位: College of Electrical and Information Engineering, Shanxi Univ. of Sci. and Tech., Xian, 710021, P. Department of Computing Information Science, University of Guelph,Canada,N1G 2W1

会议类型: 国际会议

会议名称: The 29th Chinese Control Conference(第二十九届中国控制会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2010-07-29（万方平台首次上网日期，不代表论文的发表时间）