Adaptive Realization of Expert System for Process Control and Operation
过程专家系统的自适应实现

This paper discusses the adaptive realization problem of expert system for industrial process control and operation. A self-organizing structure of knowledge base is put forward, and the realization problems of the self-organizing structure is discussed. Based on this discussion, a learning system SLFOD is developed to learn the knowledge about the process properties from the observed process operation data. The structure and simulation results of SLFOD are also given.