关键词: BP神经网络, 可拓分类, 预处理, 误差, 螺杆空压机

Abstract: To solve the problem of low accuracy and convergence rate when extensible set was classified by BP neural network,an extension classifier based on improved BP neural network was constructed.Owing to the common boundary of negative domain and positive domain,the data classification near to the boundary might be wrong caused by error of BP neural network.A pretreatment function for dealing with the data of samples based on correlation function was constructed,which made the output result of after training BP neural network keep away the boundary.The error calculation of BP neural network was redefined to accord with extension classifier guidelines,which could reduce the accuracy between output and excepted value to accelerate convergence rate.Screw air compressor was taken as an example to verify the feasibility of proposed method.

Key words: BP neural network, extension classifier, pretreatment, error, screw air compressor