The data of whole system is processed by wavelets and keepcd into data base . then this system adopts frontal reasoning based on fault tree and fuzzy technology to realize fuzzy reasoning to diagnose whether the system has or will produce fault 整个系统所采集的数据利用小波分析的方法进行数据预处理，存入数据库，再采用基于故障树的正向推理方式和模糊技术相结合进行模糊推理来诊断系统是否已经或即将发生故障。
At last , to implement the system , the forward deduction is completed by clips , and smile is employed in the modeling and inference process of bayesian networks , while the above two methods are integrated in whole system by using activex component 在实现上,系统采用clips专家系统编程语言实现正向推理、利用genie及其推理引擎库smile完成贝叶斯网络的建模和推理,并使用activex技术完成在vb . net主程序中的嵌入使用。
The photocoupler and scm are used to sample signal from air - condition controller and transmit data to pc . by using visual basic6 . 0 under windows2000 the man - machine interface , knowledge database and its management , obverse reasoning , explainer and diagnosis result output are programmed 以windows2000为平台， visualbasic6 . 0为环境开发实现了基于故障树专家系统的人机接口、知识库及其管理系统、正向推理机、解释机制、诊断结果输出。
The expert consultation can help the personnel to understand the special regulation of different lines and ports , together with some professional knowledge . the function can assist the staff to master their business and accumulate operation experience 针对货运代理工作中的难题，如航线或港口的特殊规定、以及所涉及的专业知识、个性知识，本系统通过建立知识库，采用正向推理策略，实现专家咨询功能，协助工作人员熟悉并掌握工作内容、积累业务经验。
It improves traditional positive inference . based on topology structure of power network in power system database , a inference network graph is established with the method form top to bottom . a positive inference is used in inferring and the positive inference algorithms is proposed 对传统的正向推理算法进行了改进，以网络数据库中电网拓扑结构作为前提，采用自下而上的方法建立推理网络图，采用正向推理机制进行推理，并给出了正向推理算法。
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory . in the fault diagnosis applying neural network theory , six kinds of improved arithmetic of back - propagation arithmetic , including gradient descent with momentum , variable learning rate back - propagation , resilient back - propagation , quasi - newton , levenberg - marquardt and conjugate gradient , are applied to diagnose the faults of electric load manage center and solid state power controller . different diagnostic results gotten by simulation are compared at last 在基于专家系统的故障诊断方法中，采用了产生式知识表达和正向推理机制；在基于神经网络的故障诊断方法中，则分别采用了bp神经网络的附加动量法、自适应学习速率、弹性bp算法、拟牛顿法、共轭梯度法和levenberg - marquardt法对电气负载管理中心和固态功率控制器的故障进行诊断，并对由仿真得到的不同诊断结果进行比较。
The paper explores the ai theories of developing the capp expert system , and fixes on the knowledge representation method of production rules , and the new thought of developing the knowledge base and the inference engine in the es tool clips , and introduces the theoretical knowledge of clips . the pape builds up the knowledge base about the process knowledge , invents the inference engine by the theories of control strategy of forward reasoning and rete pattern matching algorithm , with the result of improving the reliability of knowledge , the quality of inference and the efficiency of the searching . using the dynamic interface mechanism and the compiled dll , the paper embeds the clips program into the vc + + environment and carries out the mixed programming so as to achieve the data communication between the vc + + and clips 论文对开发capp专家系统的人工智能理论作了比较深入的探讨，确定了产生式规则的知识表示方法和用专家系统开发工具clips来开发系统的知识库和推理机的新思路。在阐述了clips理论知识的基础上，确定了以产生式规则构建工艺知识库，以正向推理的控制策略和里德算法的匹配模式建立推理机，从而提高了知识的可靠性、推理质量与搜索的效率。论文利用windows环境下的动态接口机制，调用已编译好的动态链接库clips . dll ,把所开发的clips程序嵌入到vc + +中再进行混合编程，实现了vc + +与clips程序的数据通信，成功地构建了capp专家系统。
In the course of designing reasoning machine , this article uses forward inference and the tactics of best - first search . and in connection with much of fuzzy knowledge , it introduces confidence theory to infer the formula of confidence which propagate in and / or tree , and illustrates how to calculate the confidence when it propagate in the course of automobile components failure analysis reasoning 在推理机的编制过程中，本文采用了正向推理方法及最好优先搜索策略，同时针对知识库中大量的模糊知识，本文引入了可信度推理模型，推导了可信度在与或树中传播计算公式，并举例说明了在汽车零部件失效分析推理过程中可信度的传播计算方法。
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit , credit risk and credit assessment , as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology , and the background of expert system and neural network . characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data , including the treatment of exceptional data and factor analysis , and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology , and constructs object model and functional model after analyzing the whole system . it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system , the major functional models and their interfaces , and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work , and points out the remaining deficiencies as well as the prospective of this method 本文具体内容安排如下：第一章介绍了信用、信用风险、信用评价的概念，回顾了信用评价的历史、发展和现状，并综合各种信用评价模型，指出这些模型各自的优缺点：第二章简单描述了人工智能技术，着重介绍有关专家系统与神经网络的基础知识，通过总结它们的优缺点，指出结合专家系统与神经网络构造混合型专家系统的必要性；本章还介绍了神经网络子模块的概念，提出了混合型专家系统的一般框架与设计步骤：第三章对样本数据进行处理，包括异常数据的剔除、因子分析等，提出了信用评价混合型专家系统的具体框架结构，介绍了系统知识库的主要部分、基于优先级的正向推理机制的流程、以及基于事实的自动解释机制的具体实现方法；第四章介绍了面向对象技术，进而采用面向对象对信用评价系统进行分析，建立了对象模型和功能模型，并在此基础上，采用c + +语言以规则类为例说明系统中具体类的实现，用伪代码的形式描述了推理的算法；第五章描述了整个系统的结构，对系统主要功能模块和界面进行了介绍，并总结系统的特点；第六章总结了全文，指出本文所构造系统存在的不足以及对将来的展望。
Dynamic causality diagram was first proposed by professor zhang qin in 1994 , it is a mathematics tool combined with probability and graph theory , just like the belief network , its characteristic is to provide the method of uncertain knowledge representation and agility reasoning , it adopts nodes to represent random variables in the domain and directional edges between nodes to represent causal relationship between variables , linkage intensity to represent the strength of the link between these variables , it supports the forms of reasoning from cause to effect and from effect to cause and together 动态因果图由张勤教授1994年提出,它与信度网类似,是概率论与图论结合的一种数学工具,其特点是提供不确定知识的表达和灵活的推理方法:用节点表示事件或变量,有向边表示因果关系,并用连接强度来表示因果关系的强度,支持由原因到结果的正向推理方式和由结果到原因的反向推理方式以及正反向混合推理方式。
