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基于神经网络的压气机特性的计算
引用本文:黄流军. 基于神经网络的压气机特性的计算[J]. 柴油机设计与制造, 2010, 16(4): 22-25,43. DOI: 10.3969/j.issn.1671-0614.2010.04.006
作者姓名:黄流军
作者单位:湖北汽车工业学院汽车工程系,十堰442002
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。

关 键 词:压气机  神经网络  数值表示

Calculation of Compressor Characteristics Based on Neural Networks
Huang Liujun. Calculation of Compressor Characteristics Based on Neural Networks[J]. Design and Manufacture of Diesel Engine, 2010, 16(4): 22-25,43. DOI: 10.3969/j.issn.1671-0614.2010.04.006
Authors:Huang Liujun
Affiliation:Huang Liujun (Dept. of Automotive Engineering,Hubei Automotive Industries Institute,Hubei Shiyan 442002,China)
Abstract: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.
Keywords:compressor  neural networks  numerical expression
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