陶瓷制品缺陷神经网络型知识库的研究  

On Neural Network Knowledge Base of Fault Analysis of Ceramic Products

作　　者：周迪勋[1] 周毓菁[1] 项经猛 

机构地区：[1]武汉工业大学 [2]襄樊大学

出　　处：《武汉工学院学报》1995年第4期7-11,共5页

基　　金：国家"八.五"攻关子项目论文

摘　　要：探讨由陶瓷制品缺陷分析样本来建造神经网络,它可作为专家系统的知识库。对专家系统的知识获取问题,神经网络给出了一条新的途径。它适用于分类、诊断和鉴别问题,且适用于诸如过程控制的实时应用环境。In this paper we have examined how to construct a neural network from training samples and how to use it as the knowledge base for an expert system. It presents a promising approach to the knowledge-acquisition problem for expert system. These methods are most appropriate for diagnosis and classification problems. This makes neural networks expert system especially well suited for real-time applications such as process control.

关 键 词：神经网络 感知器 陶瓷制品 缺陷 

分 类 号：TQ174.7[化学工程—陶瓷工业]