大型整流装置在线故障诊断专家系统

针对大型整流装置故障具有种类多、数量多和位置分布广的特点,建立了一个基于混合知识表达的整流装置在线故障诊断专家系统,专家系统的建立采用框架与规则相结合的设计方法,用框架表示结构性知识、描述性知识,用规则表示过程性的知识,用模型来表示电路故障的知识,将这种专家知识表示方法结合前向推理的推理机制对整流装置出现的故障进行高效快速的诊断.该系统应用于食盐水电解的大型整流电源上,获得良好的效果.     

基于面向对象技术的专家系统模型

分析了现有专家系统模型存在的不足,提出了一种基于面向对象技术的专家系统模型。它由知识对象和数据对象组成,对象采用类框架方法表示,系统采用全局和局部两级控制方式,全局控制采用信箱通讯,局部控制采用消息通讯,对象之间通过合作共同完成任务,从而解决了专家系统的效率和领域知识组织及使用问题。最后给出了以此模型为基础实现的证券分析专家系统实例,进一步说明了该模型的可行性和有效性。     

对象模型及其模型化方法——一种深知识的表示模型

本文介绍了对象模型和深知识等概念,在这些概念的基础上还讨论了基于框架知识表示形式的复杂系统的模型化方法.文中给出的模型化方法是通过 ISA 关系和 PART-OF 关系的相结合而形成的.这种模型化方法可用于基于深知识的设计型、分析型以及控制型等类型的专家系统.     

基于神经网络集成的专家系统模型

提出一种基于神经网络集成的专家系统模型,并给出神经网络集成的构造算法.在该模型中神经网络集成作为专家系统的一个内嵌模块,用于专家系统的知识获取,克服了传统专家系统在知识获取中的＂瓶颈＂问题.并将该模型用于图书剔旧系统中,初步建成基于神经网络集成的图书剔旧专家系统原型.     

基于Ontology的专家系统研究

针对当前专家系统领域知识语义表示不精确及推理效率低的问题,提出一种基于Ontology的专家系统框架。根据规则结构建立规则模式Ontology和动作Ontology,将用户推理条件作为模式子Ontology,设计出基于名称和实例的相似度计算及Clips推理机制的专家系统推理算法。结合高性能切削加工应用背景给出一个应用实例,应用结果表明,该系统能够明显提高推理效率和推理结果的语义表达。     

基于框架与规则相结合的棉纺工艺专家系统知识库的设计

本文讨论了棉纺工艺专家系统及其知识表示方法。在介绍棉纺工艺专家系统体系结构的基础之上，重点探讨了利用框架表示棉纺工艺的领域知识的具体方法、框架结构以及用框架一规则形式来表示推理规则及原理。并简要介绍了本系统基于事例的推理过程。     

一种组件化知识库系统的设计与实现

文章提出了一种基于Java Bean的组件化知识库模型,以及一种XML(Extensible Markup Language)标记语言和Java程序设计语言相结合的领域知识表示框架,并实现了该知识表示框架向Java Bean知识库模型自动转换的编译优化系统,方便了知识库的构建与应用。     

基于模糊框架-产生式知识表示及推理研究

知识表示是专家系统求解能力及正确性的基础。针对不同知识表示方法的局限性,采用框架与产生式知识表示法结合表示专家知识。同时鉴于传统知识表示及推理方法在描述事实生产中不确定知识及经验中的缺陷问题,将模糊推理与知识表示相结合,应用模糊因子,定量细化描述模糊知识;并结合知识表示特点应用动态加权平均匹配函数及模糊推理方法,提出基于模糊框架-产生式知识表示方法及推理的研究,量化地表示知识及推理过程,为决策人员提供更加直观、准确的推理依据。     

一种用于化工过程异常诊断的实时专家系统

本文描述了一种用于化工异常诊断专家系统的基于框架的知识表示方法，提出了用于知识表示和知识获取的知识单元和知识实体的概念，以及在此知识表示方法基础上，建造推理机的设计思想，最后还给出了采用以上概念和思想，所构造的用于实际化工过程异常诊断实时专家系统的系统结构与工作流程。     

专家系统在阵地技术防范系统中的应用

根据阵地技术防范系统的结构特点,依据专家系统理论,分析该系统故障发生和故障传播的机理,应用"框架 产生式规则"组合的知识表示方法和正反相混合推理相结合的推理控制策略,构建一种基于层次诊断模型与故障树分析法相结合,融经验诊断和原理诊断为一体的故障诊断专家系统.     

基于CAPPFramework的CAPP专家系统研究与实践

论文基于863目标产品CAPPFramework(CAPP应用框架与开发平台),采用面向对象的信息分析与建模,介绍了面向对象的CAPP专家系统平台构建技术,包括面向对象的知识获取、知识表示、工艺决策推理,并介绍了该CAPP专家系统平台在2-5坐标平面结构件CAD/CAPP/CAM数控编程系统中的应用。     

HI-RISE and beyond: directions for expert systems in design

This paper commences with a brief introduction to expert systems and then describes the HI-RISE expert system for structural design in terms of scope, problem solving strategy, knowledge representation and implementation. It then discusses the potential for developing an expert system capable of innovative design and describes the possibility of developing a generic expert system framework appropriate for any structural design problem.     

支持异地协同产品设计的知识服务模型

提出基于XML元语言，以统一的信息化格式描述设计知识，使用Java技术构建了支持多专家协同设计的基本框架，将各类设计服务封装为Web服务的形式，实现了一种Web使能的知识服务模型(Web-KSS)，并应用该模型实现了支持成套电器产品设计的知识服务系统。     

一个基于专家知识的不确定性分析推理系统

本文介绍EXDASS系统中进行不确定性分析的推理系统.该系统的工作方式是依据专 家对不确定性作出判断的有关知识信息,通过人机交互的动态过程以实现对决策的支持.专 家知识的量化表示及其推理机制的实现以可能性证据理论为基础.文中描述了系统的设计思 想和工作原理,重点介绍了在知识表示方面的自学习特性,并且给出了应用实例.     

Mapping knowledge to rules for scheduling expert systems

Although the theoretical framework of expert systems has been well established, the process of developing a non-trivial expert system is still considered a difficult task. The main reason for this is that the nature of expert systems is knowledge-intensive. Also, it is usually difficult for domain experts to explain or communicate their expertise to the system professionals. Many methodologies have been proposed to overcome this domain knowledge representation problem. Most of them require the assistance of an expert system shell (tool). However, with a purpose of helping the system development in mind, most of them were not satisfactory. This research takes the experience of implementing a course scheduling expert system, and suggests two analysis methods to describe the characteristics of course scheduling knowledge. It is shown that these methods provide assistance on clarifying the complicated scheduling problem. Another favorable advantage of this method is its capability helping the transferring of domain knowledge to rules in the knowledge base.     

An approach to expert control of interactive software systems

Expert problem-solving strategies in many domains require the use of detailed mathematical techniques coupled with experiential knowledge about how and when to use the appropriate techniques. In many of these domains, such techniques are made available to experts in large software packages. In attempting to build expert systems for these domains, we wish to make use of these packages, and are therefore faced with an important problem: how to integrate the existing software, and knowledge about its use, into a practical expert system. The expert knowledge is used, in dynamic selection and interpretation of appropriate programs and parameters, to reach a successful goal in the problem solving. We describe the framework of a hybrid expert system for representing problem-solving knowledge in these domains. This hybrid system may be characterized as consisting of a production system and mathematical methods. The software package is reorganized as necessary to map it into the mathematical-method representation of a hybrid system. This approach has evolved out of an effort to build an expert system for performing well-log analysis, ELAS (expert log analysis system).     

Fuzzy concepts in an object oriented expert system shell

Fuzzy logic is one of the methods to model the vagueness and imprecision of human knowledge. Some rule-based expert system shells have been successfully developed and have demonstrated the power of fuzzy logic in dealing with inexact reasoning and rule inferences. However, using rules for knowledge representation is not structured enough. In addition, knowledge cannot be easily represented in an abstracted (hierarchical) from. In this article the introduction of fuzzy concepts into object oriented knowledge representation (OOKR), which is a structured knowledge representation scheme, is presented. A framework for handling all the possible fuzzy concepts in OOKR at both the dynamic and static levels is proposed. In order to handle the inheritance mechanism and to model the relations among classes, instances, and attributes, some new fuzzy concepts and operations are introduced. These concepts and operations are developed from the semantic meaning rather than by an ad hoc approach. A prototype of the expert system shell. System FX-I, has been successfully developed based on the above framework, showing the feasibility of handling inexact knowledge in a structural way.     

面向对象知识表示在起重机专家系统中的应用

知识表示是专家系统的关键组成部分。在对知识表示的方法进行探究的基础上,根据起重机操作专家系统的特点,采用面向对象与产生式表示方法相结合的混合表示方法对其专家知识进行表示,并在C＋＋程序语言环境下实现起童机操作知识的表示,同时给出起重机操作的知识表示实例,用此法开发的专家系统具有代码短、易维护、易修改和易扩充的优点。阐述了起重机操作专家系统如何用面向对象方法封装规则、建立知识库、实现知识推理和具体的应用要点。