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注塑模浇注系统智能设计的一种混合知识模型 被引量:3
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作者 石峰 娄臻亮 +1 位作者 张永清 方礼祥 《上海交通大学学报》 EI CAS CSCD 北大核心 2003年第5期754-757,共4页
浇注系统是注塑模最关键的功能结构之一 ,根据浇注系统设计知识的特点 ,提出了一种混合连接主义和符号主义的知识模型 ,并采用基于框架 -规则的方式来表达 .这种混合知识模型既可以表达模糊性知识 ,也可以表达隐式和显式知识 .以此知识... 浇注系统是注塑模最关键的功能结构之一 ,根据浇注系统设计知识的特点 ,提出了一种混合连接主义和符号主义的知识模型 ,并采用基于框架 -规则的方式来表达 .这种混合知识模型既可以表达模糊性知识 ,也可以表达隐式和显式知识 .以此知识模型为基础 ,在 Pro/E软件平台上 ,开发了浇注系统智能设计原型系统 。 展开更多
关键词 注塑模 浇注系统 混合知识模型 智能设计
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复杂系统基于混合知识模型的智能故障诊断技术
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作者 朱永娇 刘洪刚 《湖南城市学院学报(自然科学版)》 CAS 2007年第2期66-69,共4页
系统阐述了复杂系统故障诊断知识的概念、类别和相互关系,研究发展了定性和定量、浅层和深层、模糊和动态等多种诊断知识的获取方式和集成组织模型,建立了因果、结构和模型等不同层次和类别诊断知识的面向对象表示方法,提出了综合多层... 系统阐述了复杂系统故障诊断知识的概念、类别和相互关系,研究发展了定性和定量、浅层和深层、模糊和动态等多种诊断知识的获取方式和集成组织模型,建立了因果、结构和模型等不同层次和类别诊断知识的面向对象表示方法,提出了综合多层次和多类别诊断知识的智能故障诊断理论和策略.该策略能有效提高故障诊断的准确性以及诊断推理的效率. 展开更多
关键词 智能故障诊断 混合知识模型 复杂系统 面向对象
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Design of Multi-attribute Knowledge Base Based on Hybrid Knowledge Representation 被引量:1
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作者 唐志杰 杨保安 张科静 《Journal of Donghua University(English Edition)》 EI CAS 2006年第6期62-66,共5页
Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented ... Based on the knowledge representation and knowledge reasoning, this paper addresses the creation of the multi-attribute knowledge base on the basis of hybrid knowledge representation, with the help of object-oriented programming language and relational database. Compared with general knowledge base, multi-attribute knowledge base can enhance the ability of knowledge processing and application; integrate the heterogeneous knowledge, such as model, symbol, case-based sample knowledge; and support the whole decision process by integrated reasoning. 展开更多
关键词 Hybrid knowledge multi-attribute knowledge base knowledge representation knowledge reasoning object-oriented method.
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A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization
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作者 吕志军 项前 +1 位作者 殷祥刚 杨建国 《Journal of Donghua University(English Edition)》 EI CAS 2006年第1期4-7,共4页
The textile process planning is a knowledge reuse process in nature, which depends on the expert’s knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundre... The textile process planning is a knowledge reuse process in nature, which depends on the expert’s knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model (HIRM) for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized. 展开更多
关键词 knowledge reuse hybrid intelligent reasoning model CBR ANN wool textile process
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