专家系统优化排列准则及时间估计模型研究

Time Model in Expert Systems of Optimal Sequence Knowledge Base

军用仿真系统中 ,专家系统作为一个决策软件包 ,满足整个软件系统运行的性能需要 ,因此研究专家系统的推理时间是必要的。专家系统的推理时间与其推理模式、知识库结构等因素有关。针对知识库结构 ,利用时间齐次马尔可夫链为专家系统知识库进行建模 ,并给出了相应的时间估计模型及其排列准则 ,从而可以研究专家系统的实时性。

In military simulation system,expert system,as a decisive software packet,consist in the whole systems,so much more studies on reasoning time are necessary for them.Reasoning time in expert system relates to its reasoning model,knowledge-base architecture,computer performance,and provided languages.This paper takes the knowledge-base architecture as an example to study the corresponding problem of the alignment.At last,Temporally homogeneous Markov chain is used to model for knowledge base.Time assessing mathematics model is given,which can provide proof for the complex control system.