本文介绍了专家系统与人工神经网络技术相结合的一些方法,提出了联合使用专家系统与人工神经网络的递阶智能控制系统结构,其组成为:监督控制专家系统,数据处理与故障诊断神经网络,常规分布式控制系统,其中的监督控制专家系统又由人工神经网络模拟实现,由于本系统吸取了专家系统技术及人工神经网络技术两者的长处,克服了各自的缺点,使得系统的性能大为提高。 This paper introduces some methods of combining expert system and artificial neural network technology, and proposes the structure of hierarchical intelligent control system using a combination of expert system and artificial neural network. Its composition is: supervisory control expert system, data processing and fault diagnosis neural network , The conventional distributed control system, in which the supervisory control expert system and artificial neural network simulation to achieve, because the system has learned the advantages of both expert system technology and artificial neural network technology to overcome their shortcomings, making the system performance To improve.