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摘要:
Considering that some linear and nonlinear factors to thermal error data exist when a machine tool works, this paper proposes a modeling method for prediction of machine tools' thermal errors by using a grey linear regression combination thermal error model. This method has an ability to deal with the linear and nonlinear problems. To obtain predictive values of thermal errors, its residual error is corrected by the BP neural network. The predictive value obtained from a grey model using an exponential function to simulate the data, is compared with the one obtained above, and the result proves the superiority of the grey linear regression combination and the BP neural network model for machine tools' thermal error compensation modeling.
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来源 :
Chinese High Technology Letters
ISSN: 1002-0470
年份: 2013
期: 6
卷: 23
页码: 631-635