摘要
简要介绍了传统专家系统知识库所存在的问题,提出了一个基于神经网络的碳钢和低合金钢大气腐蚀知识库系统,并着重阐述了这种新型知识库系统的知识获取、知识表示和系统的实现等问题.
The defect in the knowledge bases of the traditional expert systems is briefly discussed and then an atmospheric corrosive knowledge base of carbon steel and low alloy steel based on artificial neural networks is presented. The knowledge acquisition, knowledge representation and system fulfillment in this new knowledge base system are described in detail.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2002年第5期571-573,共3页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助课题(No.59290916-1)
关键词
神经网络
专家系统
知识库
大气腐蚀
碳钢
低合金钢
知识获取
知识表式
artificial neural networks
expert system
knowledge base
atmospheric corrosion
carbon steel and low alloy steel
