Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality
A new robust neurofuzzy model construction algorithm has been introduced for the modeling of a priori unknown dynamical systems from observed finite data sets in the form of a set of fuzzy rules. Based on a Takagi-Sugeno (T-S) inference mechanism a one to one mapping between a fuzzy rule base and a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2004-02.
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| Subjects: | |
| Online Access: | Get fulltext |