Transparency and simplification of rule-based models for on-line adaptation
One of the principal advantages of fuzzy rule based models over black-box approaches such as Neural Networks or polynomial models is transparency. The linguistic concept associated with the membership functions related to measured variables results in rules that are ‘readable’. This quality is usefu...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2001
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/10187 |
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