本文还介绍了文档选择子专家系统的结构、知识表示及推理机制。
The structure, knowledge representation and inference mechanism of the file selecting sub-expert system are also described in the paper.
该方法可适用于各类控制系统中的智能检测、诊断及控制的知识表示及推理等领域。
The models may is a suitable to a domain of knowledge-representation and reasoning for intelligence detection, diagnosis & control etc. , in any kind of control system.
第二章详细介绍了基于本体论的语义网络模型理论，包括语义网络模型的结构、知识表示及推理机制。
Thesecond chapter introduced semantic network model theory in detail based on ontology, including model structure, knowledge expression and inferential mechanism.
产生式系统是人工智能系统中最典型的一种基本结构，是人工智能系统中最自然的知识表示及推理的方法。
Production system is the most typical basic structure and the most natural method for knowledge showing and ratiocinating in artificial intelligence system.
事件关系的表示及事件推理是基于事件的知识处理的核心内容。
The representations of events relations and event reasoning are the keys for events-based knowledge processing.
详细介绍了其模糊知识表示、模糊关系代数及不精确推理的实现策略。
Its fuzzy knowledge representation, fuzzy relational algebra and the inaccurate reasoning implementation policies are described in detail.
并给出了智能模型的建立及知识表示、约束推理、参数设计、多方案设计与布置设计的原理与方法。
The principle and methods of the intelligent modelling, knowledge representation, constraint inference, parameter design, multi-scheme design and layout design are described at length.
论文对其体系结构、知识表示模式、推理机制、程序设计方法及测试情况作了简要介绍。
The system structure, pattern of knowledge expression, reasoning mechanism, programming method and testing result are introduced briefly.
对于不同的知识表示方式，实现了相应的知识推理机制及相互间的切换。
According to different knowledge representation modes, we implement different reasoning methods and conversion for each other.
在知识库原型中加入了国内部分法规涉及的行为及处罚，实现了法律知识的表示和推理。
Integrating actions and punishment involved in some domestic statutes, the knowledge base prototype realizes legal knowledge representation and inference.
随着模态逻辑在知识表示及知识推理中的广泛应用，关于模态逻辑的研究越来越引起人们的重视。
With the wide application of knowledge representation and knowledge inference in Fuzzy Modal Logic, more and more people put emphasis on the study of modal logic.
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。
The representation of client requirement knowledge based on frame - rule and its inference process are presented, the product knowledge index and retrieve are analyzed.
介绍了系统开发流程、知识获取、知识表示、知识推理及系统测试与评价等。
This paper introduces system development process, knowledge acquiring, knowledge presentation, knowledge inference and testing and evaluation of the system.
语义网络作为表示知识的主要方法，成为知识库组成的主要形式，从而引出知识库的维护及推理的实现。
The semantic network is the main method of representing knowledge, and is becoming principal form of component of knowledge base, so educes maintaining knowledge base and implementing inference.
开展了映射关系建模研究，明确了总体和分系统设计推理具体任务，给出解决模型知识和经验性知识获取及表示问题的要点。
SBF mapping modeling of design is established, the task of system and subsystems design, and main points of acquisition and representation of model knowledge and experiential knowledge are resulted.
系统的关键技术包括系统的知识表示、知识获取、知识库的构造及推理机策略的选用等。
The key techniques of system include the selection of knowledge acquisition, knowledge representation, knowledge database structure and reasoning mechanism of this system and so on.
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.
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.
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