It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
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。
Based on rough set theory, a rule inference approach of integrating the importance of attributes with the emergence frequency of attribute value is proposed.
提出一种基于粗集理论的，把属性的重要性和属性值的出现频率综合起来进行规则推理的方法。
According to the characteristics in intelligent instrument faults, the hybrid inference method combining rule-based reasoning and case-based reasoning is adopted.
针对智能仪器的故障特点，采用规则推理和事例推理相结合的混合推理技术。
The representation of client requirement knowledge based on frame - rule and its inference process are presented, the product knowledge index and retrieve are analyzed.
提出了客户需求知识的框架-规则表示方法及推理过程，对产品知识索引与检索方式进行分析。
Based on the division of characteristic models of the system, the knowledge base, the data base, the rule base and the inference mechanism of expert system are designed meticulously.
根据系统特征模型的划分，精心设计专家系统的知识库、数据库、规则库和推理机。
Based on the analysis of the mechanism of fuzzy reasoning by compositional rule of inference, the principle of how to achieve the same results with interpolation method is presented.
在对采用合成推理规则进行模糊推理的机制进行分析的基础上，给出了利用插值法也可以得到相同结果的原理。
A novel hybrid neural fuzzy inference system is presented. Only based on the desired input output data pairs, are the knowledge acquisition and initial fuzzy rule sets available.
设计一种新型混合模糊神经推理系统，该系统仅从期望输入输出数据集即可达到获取知识、确定模糊初始规则基的目的。
The inference is based on relevance rather than rule-governed, or maxim-based.
这种推理更多的是以关联性为依据，而不是某些规则或准则。
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.
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。
In order to solve the 3d automatic modeling problem of strata based on Generalized Tri-prism (GTP), a kind of 3d stratum structure knowledge inference rule and modeling method is put forward.
为了解决基于广义三棱柱(GTP)的三维地层模型自动建模问题，提出了一种三维地层构造知识推理规则和建模方法。
This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach.
本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。
This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach.
本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。
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