摘要
根据态势估计的特点和要求,采用Leaky noisy-or gate模型的方法构造,并将其应用于整个贝叶斯网络中。该方法以离散变量集为研究对象,由于满足构成Leaky noisy-or gate模型的条件,能够利用部分统计信息构造节点的网络参数。文中利用相关的贝叶斯网络推理软件进行了实验。实验结果表明,使用Leaky noisy-or gate模型的方法,对网络参数进行构造是可行的。
The paper proposes the method of Leaky noisy-or gate to construct the parameters of partial nodes in Bayesian networks for situation assessment. The Leaky noisy-or gate model considers discrete variable set as the object of study. Having satisfied the conditions of Leaky noisy-or gate model, the method can utilize partial statistics to gain the nodes＇ parameters. A kind of Bayesian inferencing software is used in the experiment. Experimental results show that the method is available.
出处
《计算机科学》
CSCD
北大核心
2006年第9期140-142,共3页
Computer Science
基金
国防科技预研基金(51406050301DZ0107)
