The application of ANFIS prediction models for thermal error compensation on CNC machine tools

- 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.