摘要
针对化工过程对象的复杂性和不确定性 ,介绍了采用以RBF神经网络作为子网络的多神经网络在软测量仪表中的应用。
The method of using Multiple Neural Networks based on RBF neural networks to build software instrument is introduced in this paper. A practical example of a viscosity software instrument is given to explain the procedure for developing the software instrument. The result proves that the Multiple Neural Networks is effective in process modeling.
出处
《北京化工大学学报（自然科学版）》
EI
CAS
CSCD
2001年第2期67-69,共3页
Journal of Beijing University of Chemical Technology(Natural Science Edition)
基金
新疆克拉玛依石油石化厂资助
