H1=tf([4.122e-08 1.047e-11],[1 0.0001487 3.563e-11]); H2=tf([-1.752e-05 - 1.992e-09],[1 0.0001474 7.497e-08]); H = [ H1 , H2 ]

贝叶斯网络又称信度网络，是Bayes方法的扩展，是目前不确定知识表达和推理领域最有效的理论模型之一。从1988年由Pearl提出后，已经成为近几年来研究的热点.。一个贝叶斯网络是一个有向无环图(Directed Acyclic Graph,DAG),由代表变量结点及连接这些结点有向边构成(Bayesian network, also known as belief network, is an extension of Bayes method and one of the most effec