摘要
在简要分析钢筋混凝土的耐久性问题及影响因素的基础上,通过引入基于贝叶斯网的知识表达和相应的不确定性推理原理,构造了钢筋混凝土耐久性损伤诊断专家系统.与一般基于规则的专家系统相比,贝叶斯网专家系统利用先验概率分布,可以使推理在输入数据不完备的基础上进行;以网络的拓扑结构表达定性知识,以网络节点的概率分布表达知识的不确定性,从而使不确定性知识的表达直观、明确;利用贝叶斯法则的基本原理,可以实现由因到果及由果到因的双向推理.
Based on the concise analysis of the durability and its influencing factors of the reinforced concrete, Bayesian network and corresponding uncertainty reasoning principle has been introduced to develop an expert system for damage diagnosis of the durability of the reinforced concrete, Compared with the regular rule - based expert system, the Bayesian network based ES can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly; applying the principle of the Bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2005年第9期105-111,共7页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(50378034)
高校博士点专项基金(20030532020)
关键词
不确定推理
贝叶斯网
耐久性
损伤诊断
专家系统
uncertainty reasoning
Bayesian network
durability
damage diagnosis
expert system
