摘要
对数据挖掘技术在化工过程建模中的应用现状进行了综述 ,介绍了一些主要的数据挖掘技术 ,其中包括神经网络、遗传算法、主元分析和偏最小二乘法等 ;
The status of research and major achievements in the data mining technique in the modeling of chemical process are reviewed. Some primary methods in data mining are introduced including methods of artificial neural network (ANN),genetic algorithm (GA),principal component analysis (PCA),and partial least square (PLS),etc.The application prospect,existing problems which need solving for further developing are analyzed.
出处
《化工进展》
EI
CAS
CSCD
北大核心
2003年第5期516-519,共4页
Chemical Industry and Engineering Progress
