基于专家—神经网的递阶智能控制系统

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。

HIERARCHIAL INTELLIGENCE CONTROL SYSTEM BASED ON EXPERT NEURAL NETWORK

Some methods combining expert system with neural network are introduced and an hierarchial intelligence control system structure using joinly expert system and artificial neural network is posed in this article. The system consists of a Supervising Control Expert System (SES), a data processing and fault diagnosis neural network, and a convention distribution control system in which SES is imitated by an artificial neural network. Because it possesses both advantages of expert system and artificial neural network, its property has extremely increased.