摘要
探讨了专家系统及神经网络技术在润滑油研制中的应用。以各种添加剂及其特性和有关的配比与润滑油的特性建立知识库,运用专家系统为研制油选择合适的添加剂,并向神经网络输入初始数据。运用初始数据,按照研制油的要求,从神经网络推导出合适的配比,并将推算的结果添加到知识库。
This paper studied the application of expert system and neural network to lubrication oil analysis. The knowledge base is based on different types of additives and their characteristics, different types of additive's formula and corresponding oil's characteristics.The expert system helps to make a choice of proper additives and output the initial data to the neural network. According to the characteristics of the lubrication oil, using the initial data, the neural network will make out the proper formula, and the result will be added to the knowledge base.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第4期101-104,共4页
Journal of Chang’an University(Natural Science Edition)
