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Evolving rule-based models: a tool for intelligent adaptation
An online approach for rule-base evolution by recursive adaptation of rule structure and parameters is described . An integral part of the procedure is to maximise the model transparency by simplifying the fuzzy linguistic descriptions of the input variables. The rule base evolves over time, utilisi...
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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/2134/10160 |
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