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http://www.sciencedirect.com/science/article/pii/S1568494614005730

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This paper first reviews different methods of designing thermal error models, before concentrating on employing ANFIS models. • The GM(1, N) model and fuzzy c-means clustering are used for variable selection, which is capable of simplifying the system prediction model. • The results of the study show that the ANFIS-FCM model is superior in terms of the accuracy of its predictive ability with the benefit of fewer rules.

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This page is a summary of: The application of ANFIS prediction models for thermal error compensation on CNC machine tools, Applied Soft Computing, February 2015, Elsevier,
DOI: 10.1016/j.asoc.2014.11.012.
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