%0 Journal Article
%T Research and application of breadth-first reasoning method based on match degree<br>基于匹配度的广度优先推理方法的应用研究*
%A AN Li
%A WANG Jian-lin
%A BAI Yan-mei
%A MIAO Yan-rong
%A <br>安莉
%A 王建林
%A 白燕梅
%A 苗艳荣
%J 计算机应用研究
%D 2009
%I 
%X Applicationg expert system in confirming structure of biomass soft-sensor hybrid model in fermentation process, favors to enhance precise of soft-sensor hybrid model, and make it possessed universalism and opening. On the basis of analysing structure of biomass soft-sensor mechanism model in fermentation process, this paper defined complexity of model; presented a breadth-first reasonging methord based on match degree, and introduced computation of match degree; implemented reasoning process for confirming structure of biomass soft-sensor hybrid model in fermentation process. Experiment shows that, comparing with depth-first reasonging based on exhaustive method, breadth-first reasonging methord based on match degree can reduce effectively steps of reasoning and complexity of model, and enhance efficiency of reasoning.
%K reasoning
%K match degree
%K complexity of model<br>推理
%K 匹配度
%K 模型复杂度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=221F1B247413EA4211E7A87BC121B9EF&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=BEBF2238C7F1C1F1&eid=AE1A1B758F4F84BC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10