Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (20): 200-203.

• 工程与应用 • Previous Articles     Next Articles

Knowledge base on-line maintenance for blending expert system in production of alumina based on similarity measure

WANG Ya-lin,SHU Jun,YANG Chun-hua,GUI Wei-hua   

  1. School of Information Science and Engineering,Central South University,Changsha 410083,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-11 Published:2007-07-11
  • Contact: WANG Ya-lin

基于相似性度量的氧化铝配料知识库在线维护

王雅琳,舒 军,阳春华,桂卫华   

  1. 中南大学 信息科学与工程学院,长沙 410083
  • 通讯作者: 王雅琳

Abstract: In view of knowledge base’s structure characteristics of blending optimization expert system in production of alumina with sintering process,an on-line maintenance method of expert knowledge base based on similarity measure is proposed.At first similarity measure function of rule is defined;then it is described in details how to take consistency check and orderly on-line add and modify rule following the original knowledge organization strategies by similarity measure so as to ensure highly effective expert inference.The on-line maintenance method proposed is applied successfully to industries.

Key words: knowledge base maintenance, similarity measure, production of alumina with sintering process, blending optimization, expert system

摘要: 针对烧结法氧化铝优化配料专家系统知识库的结构特点,提出了一种基于相似性度量的专家知识库在线维护方法。构造规则的相似性度量函数,以此为基础进行规则不一致性判断,并遵循原有的知识组织策略在线实现规则的有序添加和修改,从而保证高效的专家推理,提出的方法已成功用于工业应用。

关键词: 知识库维护, 相似性度量, 烧结法氧化铝, 优化配料, 专家系统