Generating training data for identifying neurofuzzy models of non-linear dynamic systems
This paper presents a methodology for generating data for training a fuzzy relational model, one neuro-fuzzy modeling technique. Neuro-fuzzy modeling is a popular à ¿grey-boxà ¿ modeling technique used to model complex, non-linear plants utilizing input-output data, i.e. as an alternative to physi...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/6138 |
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