Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905368 | Applied Soft Computing | 2015 | 11 Pages |
Abstract
- 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ali M. Abdulshahed, Andrew P. Longstaff, Simon Fletcher,