摘要
针对网络系统可靠性建模难的问题,结合专家系统和Petri网理论各自的特点,提出了一种基于知识库系统的Petri网可靠性评估方法。首先引入模糊神经Petri网的定义和适用于网络系统可靠性建模的引发规则,然后在此基础上提出一种学习算法,其既可以表示和处理模糊产生式规则的知识库系统,又具有学习能力。最后以一个无向网络的可靠性评估为例,并通过定性分析和定量计算,验证了算法的合理性和有效性。
Aiming at the practical conditions of network system,a combined method for estimating the reliability based on expert system and Petri net was proposed.First the definition and fire-rules of fuzzy neural Petri net were presented.Then a learning algorithm was put forward.It can express and process the knowledge-based system of fuzzy productive rules,and posseses the capability of learning.Finally the model of reliability evaluation of network system was established based on it.According to qualitative analysis and quantitative indices calculation,the result shows that the model is effective and reasonable.
出处
《计算机与数字工程》
2010年第5期99-101,104,共4页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:60774029)资助
