摘要
为了确定液压泵的高效率工作区域,需要做出其工作特性图,传统的作法需要大量的测试数据。本文给出了一种采用人工神经网络建模的方法,运用三层BP网络,只需要少量数据就可以建立液压泵的工作特性模型,输出液压泵的各种工作特性值。
In order to ascertain the high efficiency working area,it needs to draw its work character figure,tradi-
tional1y,it must have a great number of testing data. The text offers a kind of way using ANN model,and using
the BP networks of 3 layers,only needs a few of data,the model of the work character of hydraulic pump can be
made,and exports any kinds of character of hydraulic pump.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2003年第z2期617-618,共2页
Chinese Journal of Scientific Instrument
关键词
液压泵工作特性
BP神经网络
贝叶斯正则化
Character of hydraulic pump
BP neural network
Bayesian regularization