介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
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.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
通过对基于规则、模型与案例推理的分析，给出了基于混合推理策略的半智能CAFD系统总体结构。
Through the analysis on ruled based and model based and case based reasoning, an overall structure of semi intelligent CAFD system based on mixed reasoning strategy is presented.
但由于面向对象技术本身不具备规则推理能力，因此将现有的基于规则技术集成到面向对象系统中成为一个研究的兴趣点。
But object-oriented technology has no ability of reasoning itself, so it is always an interesting point of research to integrate the rule-based technology into object-oriented systems.
将人工智能理论用于井间地层对比，设计开发出基于规则推理的人工智能地层对比专家系统。
Artificial intelligence expert system for strata correlation based on rule reasoning has been designed and developed.
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.
论文还详细介绍了数控刀具事实库、规则库以及数控刀具选配系统推理机的设计方法，并建立了基于专家系统的数控刀具选配系统模型。
This paper also introduces the design methods of fact base, rule base and reasoning machine design method of NC tool selection system, and establishes NC tool selection model based on expert system.
介绍了一种基于实例和规则的集成推理模型，并给出其在机械产品协同设计支持系统中的应用。
This paper summarizes CBD techniques and presents an integrated reasoning model based on CBR and RBR, and also introduces its application to mechanical product cooperative design.
基于专家系统工具，开发了TBM状态监测和故障诊断专家系统，阐述了系统的结构原理、推理规则、目标实现过程。
Situation monitoring and trouble diagnosis expert system for TBM is developed. The structure principle, inference rule and goal attaining process are described.
进而采用基于规则的专家系统技术，实现一个可以自动进行推理，并给出相应结论的原型系统。
The prototype system which could reason automatically and give relevant conclusion is realized by regular expert system technology.
分析了当前基于规则的专家系统存在的问题，介绍了基于案例推理（CBR）的概念。
The features and problems of the current rule_based expert systems is firstly summarized, and then an introduction to Case_Based Reasoning (CBR)is given.
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.
多数故障诊断专家系统采用单一的推理机制，或者基于规则的推理，或者基于事例的推理。
Most fault diagnosis expert system adopted single reasoning mechanism, or rule-based reasoning or case-based reasoning.
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.
在选定数据集上的仿真实验数据表明，提出的方法可以明显提高基于加权模糊产生式规则的专家推理系统的泛化能力。
Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability of the FPR-based expert systems.
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.
传统的钻井专家系统采用基于规则的推理，对于难以规则化的典型案例不能够充分利用。
The traditional drilling expert system is based on rule, and the typical cases that are difficultly ruled could not be used enough.
利用传统的基于模糊推理或规则匹配的专家系统对其进行入侵检测已不能满足系统的实时性和准确度要求。
Simply use the traditional technique based on fuzzy reasoning or expert system in intrusion detection system can not satisfy real-time and accuracy requirements.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)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.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
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.
提出了基于牵引计算和规则集推理的精确系统初始映像方法。
This paper proposes a new accurate simulation initialization method based on train performance calculation and rules-reasoning.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
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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