数控机床设计知识库系统知识获取、表示及推理研究  被引量:4

Study of Knowledge Acquisition,Representation and Reasoning of Knowledge Base System in CNC Machine Tools Design

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作  者:刘钊[1] 

机构地区:[1]南京理工大学机械工程学院,江苏南京210094

出  处:《机械制造与自动化》2012年第2期118-120,共3页Machine Building & Automation

基  金:"高档数控机床与基础制造装备"科技重大专项(2009ZX04014-036)

摘  要:依据数控机床设计知识类型复杂、知识量巨大的特点,运用自然语言理解技术与CBR技术结合建立知识获取模型,采用面向对象技术和带有阈值限制的产生式规则混合知识表示方法实现了案例库和规则库的知识表示,运用基于实例的推理(case-based reasoning,CBR)和基于规则的推理(rule-based reasoning,RBR)相结合实现了知识推理,构建了数控机床设计知识库系统。According to the intricate knowledge types and huge number of knowledge in CNC machine tool design,knowledge acquisition model is established by applying the technology of natural language understand and CBR technology,the knowledge representations of case base and rule base are realized by using the object oriented technique and production rule representative methods with threshold restriction and the knowledge reasoning is realized by adapting case-based reasoning and rule-based reasoning technique such that the knowledge base system of CNC machine tools is established.

关 键 词:知识获取 知识表示 实例推理 规则推理 

分 类 号:TG659[金属学及工艺—金属切削加工及机床]

 

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