A Novel Fuzzy Identification Method Based on Ant Colony Optimization Algorithm
In this paper, an identification problem for nonlinear models is explored and a novel fuzzy identification method based on the ant colony optimization algorithm is proposed. First, a modified cluster validity criterion with a fuzzy c-regression model is adopted to find appropriate rule numbers of th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2016-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7501452/ |