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基于BP训练数据选取的压气机特性曲线计算
引用本文:梁超,吴新跃.基于BP训练数据选取的压气机特性曲线计算[J].计算机与数字工程,2013,41(10):1593-1595.
作者姓名:梁超  吴新跃
作者单位:海军工程大学机械工程系 武汉430033
摘    要:基于BP神经网络方法,研究了压气机特性曲线的拟合及BP神经网络结构设计。对不同训练数据选取方法和比例情况下的BP神经网络进行了计算,分析BP神经网络数据选取与网络泛化能力之间的关系。分析结果表明,均匀顺序选择的BP神经网络在压气机特性曲线仿真上具有更优的泛化能力。

关 键 词:压气机  BP神经网络  泛化能力  数据选取

Calculation of Compressor Characteristics Based on Sample Selection in BP Neural Network
LIANG Chao , WU Xinyue.Calculation of Compressor Characteristics Based on Sample Selection in BP Neural Network[J].Computer and Digital Engineering,2013,41(10):1593-1595.
Authors:LIANG Chao  WU Xinyue
Affiliation:(Department of Mechanical Engineering, Naval University of Engineering, Wuhan 430033)
Abstract:Based on the method of BP neural network function, a calculation of compressor characteristics is made. The relation be- tween samples selection and generalization ability of BP neural network is analyzed, the BP neural network in the cases of different sample se- lection methods and data proportion are calculatated. The result shows that the neural network utilizing the method of uniformly order of se- lection, has better generalization.
Keywords:compressor  BP neural network  generalization ability  sample selection
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