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.
同时也对专家系统中知识的推理和计算过程以及知识库的动态更新过程进行了讨论。
The reasoning and computing process of knowledge in expert system and the dynamic updating of database are discussed.
专家系统的工作主要体现在推理过程上。
分析了弧形闸门设计过程，探讨了弧形闸门智能CAD系统的知识模型和推理模型及其数据结构的设计方法。
The design process of arc gate is analyzed, and design methods of knowledge model, inference model and data structure of intelligent CAD system in arc gate are discussed.
当前可视分析系统对分析推理的迭代过程支持不足，从而给用户带来较大的操作负担和记忆负担。
Existing visual analytic systems have deficiency in supporting the iterative process of analytic reasoning, which bring heavy memory burden to users.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于TS模型的自适应神经模糊推理系统(ANFIS)建模方法。
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
用某高校人才识别系统这一实例来说明TAN分类器的推理过程，并介绍了TAN分类器在数据挖掘领域的应用。
The reasoning process of evaluating university talented scholars system is presented, and introduce the application of TAN classifier in data mining.
针对纯碱碳化过程的复杂建模问题，提出基于T-S模型的自适应神经模糊推理系统（ANFIS）的建模方法。
The paper introduces a kind of adaptive neural-fuzzy inference systems (ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.
该系统使用数学工具实现评价过程中的模糊表示、推理和判断，并能综合考虑各种因素的影响，得出较为客观、准确的评价结果。
The system can realize fuzzy representation, reasoning and judgment in evaluation, take into consideration the influences of various factors and yield objective and accurate evaluation results.
状态评估是建立在操纵员与系统及环境之间紧密交互基础之上的动态认知过程，其核心认知成分是推理。
Situation assessment is a dynamic cognitive process which is built on the close interaction between operators and systems. Its dominant component is reasoning.
智能教学系统中，知识库的构造决定了学科知识组织的条理性和智能推理过程的有效性。
In an intelligent teaching system, construction of knowledge base determines the validity of knowledge organization and efficiency of intellectual reasoning.
在介绍染色工艺特点的基础上，详细阐述了模糊pid控制推理系统设计的过程，并给出了软件设计流程图。
On the basis of introducing the technology characteristic of dyeing, the process of designing a fuzzy PID control logic system is related in detail and the flow chart of software is given.
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.
本文阐述了基于部件模型的定性推理方法的基本思想和过程，并对系统行为的因果解释方法进行了分析。
This paper describes the main idea and process of qualitative reasoning based on component model, and analyses the causal interpretation methods of system behaviors.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
系统用产生式规则表示知识，采用正向推理策略，较准确地模拟了专家的施治过程。
This system expresses knowledge producing rules, puts to use reasoning machanism of combining positive direction with opposite direction. It imitates expert diagnosis process exactly.
模糊控制技术能利用控制规则，模拟人脑的推理过程，通过对输入量模糊化和综合推理，可以弱化数据不准确对系统的影响。
Fuzzy control technologies that apply control rules to simulating the inference process of man's brain can diminish the affect on the system by data inaccuracy.
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.
对以模糊逻辑为基础的推理方法进行了探讨，并用以模拟专家的思维过程，提出了条带开采专家系统的推理网络。
Reasoning method based on fuzzy logic is used to simulate thinking processes of human experts, and reasoning network of strip mining expert system has been proposed.
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.
论文结合棉纺工艺设计过程详细地介绍了推理模型的设计，为基于事例推理的专家系统提供实用参考。
This article introduces detailedly the design of inference model connecting with the designing process of the cotton crafts and arts, which promoting the research and development of es.
通过研究钻机方案设计过程，首次提出了钻机方案设计专家系统的控制策略和推理机制。
It also presents the control strategy and deducing machine of drill machine's scheme design expert system.
最后根据自动测试系统的故障诊断需求，提出了故障字典数据库的结构和数据格式，并简要介绍了故障推理的实现过程。
At last According to the fault diagnosis requirement of ATS, the data format and structure of fault dictionary database are proposed, and the fault reasoning procedure is introduced.
专家系统可以模拟专家分析和解决问题的过程进行推理，最终给出合理的方案。
By simulation the procedure of human being expert's analysis and solving problem, an expert system can perform reasoning to provide appropriate advice.
并分析了船舶电力系统的诊断机理、诊断过程及推理机制。
And the diagnosis mechanism, the diagnosis procedure and the reasoning methods are also discussed in the article.
特别在细化过程中，提出并应用了“继承推理”方法来提高系统效率。
Especially in process of recursive refine, the efficiency can be improved greatly by applying the inherit reasoning method which is presented in this paper.
首先介绍系统总体结构，给出知识表示模型和推理机制，并且引入RMG的概念，进一步提出运用RMG完成推理过程的算法。
It first introduces its architecture, knowledge representation model and reasoning schema, and then the concept of Rule model Graph (RMG) and an algorithm for reasoning using RMG.
并以水泥工业的新型干法分解炉喂煤量智能控制系统为例说明了神经网络智能控制的推理过程。
The inferential process of the fault diagnosis in the neural network is explained with an example of controlling coaling of decomposing furnace expert system.
在推理过程中，为了更好地提高系统的实用性、可靠性和准确性，从农民用户使用角度着想并结合系统本身的特点采用了带有可信度因子加权的不确定性推理方法。
Considering the using for farmers, the characteristic of this system and it's reliability and accuracy, we adopted the uncertainty reasoning model which included certainty and weight factors.
在推理过程中，为了更好地提高系统的实用性、可靠性和准确性，从农民用户使用角度着想并结合系统本身的特点采用了带有可信度因子加权的不确定性推理方法。
Considering the using for farmers, the characteristic of this system and it's reliability and accuracy, we adopted the uncertainty reasoning model which included certainty and weight factors.
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