摘要
支持产品设计的分布式集成信息系统中知识库是系统的核心,如何准确检索到所需知识对系统运行性能有重要影响.文章通过将人工神经网络、模糊理论和规则推理相结合提出了快速、有效的知识检索方法,并探讨了知识分层问题,以支撑件知识检索为对象开发了知识检索原型系统.文章旨在探讨一种合理、有效、快速的知识检索方法,为分布式集成信息系统的成功运行提供性能保障.
: The repositories are the kernel of distributed integrated information system for product design,The efficiency and reality of knowledge retrieve have great effect on the performance of system.Base on artificial neural networks,fuzzy logic and rule reasoning,a method for retrieving knowledge from repositories is proposed.And the issue on how to layer the knowledge is discussed.Take the determination of support parts types as an example,a prototype of knowledge retrieve is developed.The aim is to seek an efficient and reliable method of retrieving knowledge from repositories to support the running of distributed integrated information system for product design successfully.
出处
《计算机工程与应用》
CSCD
北大核心
2000年第11期38-41,101,共5页
Computer Engineering and Applications
基金
国家自然科学基金!(No.59990472 )
国家重点科技项目!(攻关计划) (98-15)资助.