基于贝叶斯网的钢筋混凝土耐久性损伤诊断专家系统研究
|
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.
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.
引文
[1]施宏宝,王秋荷.专家系统[M].西安:西安交通大学出版社,1990.Shi Hongbao,Wang Heqiu.Expert System[M].Xi’an:Xi’an Jiaotong University Press,1990.
[2]Nils J.Nilsson.人工智能[M].北京:机械工业出版社,2000.Nils J.Nilsson.Artificial Intelligence:A New Synthesis[M].Beijing:China Machine Press,2000.
[3]Joseph C.Giarratano.CLIPS User’s Guide[M/OL].http://www.ghg.net/clips/download/documentation/usrguide.pdf,2003-11-15.
[4]Thomas Linder Puls.Fundamental Prolog[EB/OL].http://www.visual-prolog.com/vip6/tutorial/tut04b/default.htm,2003-01-13.
[5]Shafer G.A Mathematical Theory of Evidence[M].Princeton,NJ:Princeton University Press,1976.
[6]Lotfi A.Zadeh.Toward a perception-based theory of probabilistic reasoning with imprecise probabilities[J].special issue onimprecise probabilities,Journal of Statistical Planning and Inference,2002,105:233-264.
[7]Pearl J.Probabilistic Reasoning in Intelligent Systems:Networks of Plausible Inference[M].San Francisco:Morgan Kaufmann,1988.
[8]David J,Spiegelhalter A,Philip Dawid,Steffen L.Lauritzen,Robert G.Cowell.Bayesian Analysis in Expert Systems[J].Statistical Science,1993,8(3):219-247.
[9]欧进萍,张世海,等.高层钢筋混凝土结构抗震选型的模糊专家系统[J].地震工程与工程振动,1997,17(2):82-91.Ou Jinping,Zhang Shihai,et al.Fuzzy expert system for determination of lateral load resisting systems of R.C.tall buildings inseismic region[J].Earthquake Engineering&Engineering Vibration,1997,17(2):82-91.
[10]张在明,陈雷,沈小克.工程勘察场地复杂程度划分及其专家系统的建立[J].土木工程学报,1998,31(6):15-22.Zhang Zaiming,Chen Lei,Shen Xiaoke.Differentiation of the complicacy grade of investigation sites and its computer expert system[J].Chinese Journal of Civil Engineering,1998,31(6):15-22.
[11]杨育文,袁建新.改进的逆向推理技术在深基坑工程专家系统中的应用[J].岩土工程学报,1999,21(6):700-703.Yang Yuwen,Yuan Jianxin.Application of an improved back reasoning technique in expert system for deep excavation[J].Chinese Journal of Geotechnical Engineering,1999,21(6):700-703.
[12]杨纶标,高英仪.模糊数学[M].广州:华南理工大学出版社,2003.Yang Dibiao,Gao Yingyi.Fuzzy Mathematics[M].GuangZhou:South China University of Technology Press,2003.
[13]Mamdani E H,Assilian S.An experiment in linguistic synthesis with a fuzzy logic controller[J].International Journal of Man-Machine Studies,1975,7(1):1-13.
[14]Mamdani E H.Applications of fuzzy logic to approximate reasoning using linguistic synthesis[J].IEEE Transactions on Computers,1977,26(12):1182-1191.
[15]Micheal I Jordan.Learning in Graphical Models[M].Cambridge,MA:MIT Press,1999.
[2]Nils J.Nilsson.人工智能[M].北京:机械工业出版社,2000.Nils J.Nilsson.Artificial Intelligence:A New Synthesis[M].Beijing:China Machine Press,2000.
[3]Joseph C.Giarratano.CLIPS User’s Guide[M/OL].http://www.ghg.net/clips/download/documentation/usrguide.pdf,2003-11-15.
[4]Thomas Linder Puls.Fundamental Prolog[EB/OL].http://www.visual-prolog.com/vip6/tutorial/tut04b/default.htm,2003-01-13.
[5]Shafer G.A Mathematical Theory of Evidence[M].Princeton,NJ:Princeton University Press,1976.
[6]Lotfi A.Zadeh.Toward a perception-based theory of probabilistic reasoning with imprecise probabilities[J].special issue onimprecise probabilities,Journal of Statistical Planning and Inference,2002,105:233-264.
[7]Pearl J.Probabilistic Reasoning in Intelligent Systems:Networks of Plausible Inference[M].San Francisco:Morgan Kaufmann,1988.
[8]David J,Spiegelhalter A,Philip Dawid,Steffen L.Lauritzen,Robert G.Cowell.Bayesian Analysis in Expert Systems[J].Statistical Science,1993,8(3):219-247.
[9]欧进萍,张世海,等.高层钢筋混凝土结构抗震选型的模糊专家系统[J].地震工程与工程振动,1997,17(2):82-91.Ou Jinping,Zhang Shihai,et al.Fuzzy expert system for determination of lateral load resisting systems of R.C.tall buildings inseismic region[J].Earthquake Engineering&Engineering Vibration,1997,17(2):82-91.
[10]张在明,陈雷,沈小克.工程勘察场地复杂程度划分及其专家系统的建立[J].土木工程学报,1998,31(6):15-22.Zhang Zaiming,Chen Lei,Shen Xiaoke.Differentiation of the complicacy grade of investigation sites and its computer expert system[J].Chinese Journal of Civil Engineering,1998,31(6):15-22.
[11]杨育文,袁建新.改进的逆向推理技术在深基坑工程专家系统中的应用[J].岩土工程学报,1999,21(6):700-703.Yang Yuwen,Yuan Jianxin.Application of an improved back reasoning technique in expert system for deep excavation[J].Chinese Journal of Geotechnical Engineering,1999,21(6):700-703.
[12]杨纶标,高英仪.模糊数学[M].广州:华南理工大学出版社,2003.Yang Dibiao,Gao Yingyi.Fuzzy Mathematics[M].GuangZhou:South China University of Technology Press,2003.
[13]Mamdani E H,Assilian S.An experiment in linguistic synthesis with a fuzzy logic controller[J].International Journal of Man-Machine Studies,1975,7(1):1-13.
[14]Mamdani E H.Applications of fuzzy logic to approximate reasoning using linguistic synthesis[J].IEEE Transactions on Computers,1977,26(12):1182-1191.
[15]Micheal I Jordan.Learning in Graphical Models[M].Cambridge,MA:MIT Press,1999.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心