摘要
论述了浮选厂自学习咨询控制专家系统知识库以及与知识库相适应的推理机的设计,本系统采用的框架/规则表示法,不仅能自然、完整地表示浮选过程知识,而且也便于推理机的实现。
The knowledge base and the inference engine design of self-learning,consulting and control expert system for a flotation plant have been described in this paper. The frame/rule representation adopted in this system can not only represent flotation process knowledge naturally and completely,but also implement the inference engine conveniently.
出处
《金属矿山》
CAS
北大核心
1996年第8期22-25,共4页
Metal Mine
基金
国家教委博士点基金
关键词
浮选厂
专家系统
知识表示
推理机设计
选矿厂
Flotation plant,Expert system,Representation of knowledge,Design of inference engine