Thermal Error Compensation on Machine Tools Using Rough Set Artificial Neural Networks

This paper is a study of the application of rough set artificial neural networks to the problem of calculating thermal error compensation values for axis positioning on a machine tool. The primary focus is on the development of a rough set approach to reduce a thermal error compensation system which...

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Bibliographic Details
Published in2009 WRI World Congress on Computer Science and Information Engineering Vol. 5; pp. 51 - 55
Main Authors Huanglin Zeng, Yong Sun, Haiyan Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2009
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