摘要
本文讨论了ＢＰＮ的基本概念，给出了ＢＰＮ典型的Ｐｃｔｒｉ网模型、分析方法和分析性质，描述了由ＢＰＮ扩展的ＳＰＮ和ＤＴＳＰＮ的概念，结合ＳＰＮ和ＤＴＳＰＮ模型实例给出了它们同构的ＭａｒｋｏｖＣｈａｉｎ（ＭＣ）、标记概率和标志概率的计算结果。实践表明，ＳＰＮ能为具有随机过程的系统进行建模和定量分析，是扩展的ＢＰＮ中一种十分有用的分析工具．
In this paper, the basic concept of BPN is firstly discussed, BPN typical Petri net models, analysis methods and analysis propertics are given, Then the definition of SPN and DTSPN is described, extended BPN, using the models of SPN and DTSPN, their isomorphie Merkov chain and calculting results of marking probability and tokens probability are given.Practice shows that the SPN can be made model and quantitative analysis for a stochastic process system,and it is a very useful tool in the enhaced BPN.
出处
《微电子学与计算机》
CSCD
北大核心
1994年第1期5-9,共5页
Microelectronics & Computer
关键词
BPN模型
SPN模型
性能分析
BPN model. SPN model
Markov model
Performance analysis
