摘要
介绍了一种基于神经网络的智能专家系统,给出了系统的结构,具体描述了神经网络专家系统的基本原理。并以水泥工业的新型干法分解炉喂煤量智能控制系统为例说明了神经网络智能控制的推理过程。控制结果表明了该方法的有效性。
In this paper, controlling coaling of decomposing furnace expert system based on the BP neural network is introduced. The construction of system is given. The basic principle of neural network expert system is described concretely. The inferential process of the fault diagnosis in the neural network is explained with an example of controlling coaling of decomposing furnace expert system. The diagnostic result shows that the method is effective.
出处
《计算机技术与发展》
2006年第7期94-95,98,共3页
Computer Technology and Development
基金
国家"八六三"科技攻关项目(2002AA335050)
关键词
神经网络
专家系统
智能控制
neural network
expert system
intellective control