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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Published in | 2009 WRI World Congress on Computer Science and Information Engineering Vol. 5; pp. 51 - 55 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2009
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Subjects | |
Online Access | Get full text |
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