Fuzzy rule extraction from input/output data
This paper discusses the question how the membership functions in a fuzzy rule based system can be extracted without human interference. There are several training algorithms, which have been developed initially for neural networks and can be adapted to fuzzy systems. Other algorithms for the extrac...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2260 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2260 |