基于数据库的产生式知识表达及其在发酵过程中的应用

A production knowledge representation based on a database and its application in a fermentation process

结合数据库技术的优势,提出了一种基于数据库的产生式知识表达方法,并说明了产生式规则的树型结构及其数据库表达。结合发酵过程生物量软测量专家系统的应用,给出了发酵过程生物量软测量建模知识的产生式规则定义及其知识库设计。实验表明,与一般顺序组织结构的产生式知识表达方法相比,基于数据库的产生式知识表达方法有利于提高专家系统的推理效率。

A production rules knowledge representation based on a database, which introduces the advantages offered by databases, is presented. The tree-structure of the production rules and their expression in the database are described. When combined with the application of a biomass soft-sensor expert system in a fermentation process, definitions of production rules concerning biomass soft-sensor modeling knowledge and design of the knowledge base can be obtained. Tests show that, compared with an ordinal production knowledge representation, the production knowledge representation based on the database leads to an enhanced reasoning efficiency of the expert system.