摘要
采用人工神经网络 (ANN)方法 ,建立了液液旋流油水分离器的BP(Back -Propagation)网络模型 。
The authors studied the separating process of the oil water separation hydrocyclones by BP (Back Propagation) networks in artificial neural networks method. The BP networks simulate the relations efficiently of the structure parameters, operating parameters to separation performance. Some training data were also given in the end of the paper.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
2000年第2期40-43,共4页
Journal of Sichuan University (Engineering Science Edition)
关键词
液液旋流油水分离器
神经网络模型
分离过程
oil water separation hydrocyclone
artificial neural networks
back propagation networks
