A genetic approach to fuzzy learning
- 24 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The approach proposed allows supervised approximation of multi-input/multi-output (MIMO) systems. Typically a small number of fuzzy rules are produced. The learning capacity is considerable, as is shown by the numerous applications developed. The paper gives a significant example of how the fuzzy models developed are generally better than those to be found in recent literature concerning both the approximation capability and simplicity.Keywords
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