Research and application of breadth-first reasoning method based on match degree
基于匹配度的广度优先推理方法的应用研究*

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.