与传统的基于规则的系统相比，基于案例推理的系统具有简化知识获取、便于知识积累等优点。
Comparing to traditional rule-based system, it has many advantages, which can predigest knowledge gathering and accumulate knowledge easily.
本文采用正反向混合推理机制，深度优先的控制策略建立了一个基于知识的汽车传动系故障计算机辅助系统。
This paper has set up a computer aided diagnostic expert system for automotive drive line by way of forward and backward combined reasoning and depth optimal theory.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
提出一种基于面向对象技术的专家系统的建造方法，并给出了优化的推理机制以及面向对象的知识处理模型。
An Object Orient technique based development method of Expert System was brought forward, and given its optimized reasoning mechanism and Object Orient based knowledge process model.
本文介绍了基于推理技术和数据库技术相结合的知识库系统的体系结构，阐述了各模块功能，提出了几种改善系统效率的方法。
The architecture of the knowledge base system-KBMS is based on integrating data base and inference techniques. Module functions and some methods of improving system efficiency are presented.
文章主要介绍基于粗集方法的普通话等级判别专家系统的基本构成、知识表达方式及学习推理方法。
The article introduction the distinguishes the expert system that can standard PSC rank based on the Rough Sets, the knowledge expression and the inference method.
该理论综合了现有问答系统的优点，有望基于纯粹的文本知识，实现检索、理解、推理一体化的机制。
This theory combined the excellence of current Question Answering System and is hoped to fulfill the mechanism of retrieval, understanding and reasoning based on pure text knowledge.
针对作业排序问题求解过程复杂、结构性差等特点，本文提出一种基于知识推理的专家系统模型，以实现作业排序问题的求解。
Operation scheduling is a complicated task with semi-structured character. In this paper, the expert system model using knowledge reasoning for operation scheduling is given.
论文提出了基于专家系统设计思想的计算机围棋博弈系统结构，知识库和推理机是该系统的核心部件。
The paper proposes computer Go system structure based on expert system design whose core parts are knowledge base and inference machine.
讨论了一个基于神经网络处理系统，实现了推理知识的自动获取和自适应模糊推理，具有很强的实用性。
A practical neural networks based classification system was discussed in this paper, in which automatic knowledge acquiring and fuzzy reasoning was realized.
同时系统采用常识推理模型和基于面向对象的知识部件库专家系统结构。
At the same time, the system USES General knowledge reasoning model and Object-Oriented based knowledge part warehouse Expert system structure.
文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。
The basic topology, knowledge representation and inductive learning of an intelligent expert system on rough sets are introduced in this paper.
框架的知识组织方式也有利于工作流的推理，而且框架是本体形式化的表示方法之一，因此框架是基于系统层知识的工作流建模的理想方法。
The knowledge organization of framework helps workflow illation, framework also being one of the ontology formalization approaches and the ideal modeling method based on system layer knowledge.
提出了基于知识的智能化CAPP系统的构造方法及知识库与推理机的实现。
The constitution method of intelligent CAPP (computer aided process planning) System Based on Knowledge and the implement of Knowledge Base and reasoning machine are proposed and discussed.
基于微软基础类库（MFC），该专家系统将知识库、推理机和人机界面加以重构并形成一体。
The traditional components of an expert system, such us knowledge base, inference engine and user interface are reconstructed and integrated, based on the Microsoft Foundation Class (MFC) library.
车载计算机故障诊断专家系统采用应用广泛的基于知识的专家系统结构，通过规则进行推理来实现机车电传动电路的故障诊断任务。
And the on-board computer expert system adopting the expert system structure widely based on the knowledge and the reasoning rules accomplishes the fault diagnosis.
详细介绍了该系统中引入的基于神经规则的知识表示方法并简要说明了推理过程。
Neurule is explained as the knowledge representation method and so is the reasoning process.
介绍了工程实例类知识的表达和基于实例的推理机制，这是基于实例的推理在工程智能CAD系统中得以应用必须解决的关键问题。
This paper discusses engineering case expression and case-based reasoning. Theseare key issues related to the application of case-based reasoning in engineering intelligent CADsystems.
本文还通过知识库中基于相似度的推理提高了知识库的可用性，为问答系统的应用提供了很大方便。
Similarity based reasoning is also added to the knowledge base system to increase its usability, and provide more convenience for QA systems.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
以此为基础，着重研究了二叉故障树在专家系统中的计算机表示和基于故障树知识的诊断推理机制。
On the basis of the BFT, the stress is put on the computer presentation of BFT and the mechanism of diagnosis and reasoning in this paper.
本文阐述了基于规则和框架的诊断专家系统的知识表示方法，提出将基于规则和故障树相结合的推理方法。
The hybrid reasoning strategy fused by the rule-based reasoning and fault tree reasoning is used to meet the request of equipment diagnosis.
五是本文分析认为基于范例推理（CBR）是解决旅游计划决策这样复杂的知识领域问题最适宜的方法，解决了该子系统中CBR关键技术的实现问题。
Fifthly, I think CBR is the most suitable method to solve the problem of tourism plan decision-making and solve the application problem of CBR in this system.
本文提出将基于人工智能技术、运用知识和推理的专家系统与基于数字仿真技术、运用数据和模型的仿真模型体系相集成的智能化决策支持系统CDSS。
The paper presents the conceptual design and a prototype implementation of a decision supporting system CDSS for China's national demographic-economic development strategic design.
PTES是用PROLOG编写的，该系统根据支持基于规则的知识表示及近似推理对PROLOG的知识处理能力进行了扩充。
PTES is written in Prolog and extends Prolog's knowledge processing, capabilities by supporting rule - based knowledge representation and approximate reasoning.
从基于案例推理机制入手，阐述了基于案例推理知识库系统的工作过程和原理，提出了系统设计的方法。
With the mechanism of the technology based on case-based reasoning, the working course and principle are expatiated, and then a system-designed method is proposed.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
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