摘要
研究了压气机特性数值表示法,采用BP神经网络和RBF神经网络计算了压气机特性,结果表明RBP神经网络具有最好的函数逼近能力和泛化能力。
Numerical expression of compressor characteristics is studied. A calculation of compressor characteristics is made based on BP and RBP neural Network models. The results show that the RBF Neural Network is the best in terms of capacity in approximation of function and generalization.
出处
《柴油机设计与制造》
2010年第4期22-25,43,共5页
Design and Manufacture of Diesel Engine
关键词
压气机
神经网络
数值表示
compressor
neural networks
numerical expression
