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基于匹配度的广度优先推理方法的应用研究


□ 安 莉 王建林 白燕梅 苗艳荣

  (北京化工大学 信息科学与技术学院, 北京 100029)
  
  摘 要:将专家系统用于确定发酵过程生物量软测量混合模型的结构,有利于提高软测量模型的精度,并且使其具有通用性和开放性。在分析发酵过程生物量软测量机理模型结构的基础上,定义了模型复杂度;提出了基于匹配度的广度优先推理方法,给出了匹配度的计算方法;实现了用于确定发酵过程生物量软测量混合模型结构的推理过程。实验表明,与基于穷举法的深度优先推理方法比较,基于匹配度的广度优先推理方法能够有效地减少推理的步数,降低模型复杂度,提高推理效率。
  关键词:推理; 匹配度; 模型复杂度
  中图分类号:TP182 文献标志码:A
   文章编号:10013695(2009)03088403
  
  Research and application of breadthfirst reasoning method
  based on match degree
  
  AN Li, WANG Jianlin, BAI Yanmei, MIAO Yanrong
  
  (School of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China)
  
  Abstract:Applicationg expert system in confirming structure of biomass softsensor hybrid model in fermentation process, favors to enhance precise of softsensor hybrid model, and make it possessed universalism and opening. On the basis of analysing structure of biomass softsensor mechanism model in fermentation process, this paper defined complexity of model; presented a breadthfirst reasonging methord based on match degree, and introduced computation of match degree; implemented reasoning process for confirming structure of biomass softsensor hybrid model in fermentation process. Experiment shows that, comparing with depthfirst reasonging based on exhaustive method, breadthfirst reasonging methord based on match degree can reduce effectively steps of reasoning and complexity of model, and enhance efficiency of reasoning. ......
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