Development of parsimonious fuzzy neural network for data driven modelling
In many complex real-world engineering problems, it is well known that the optimal number of rules is unknown. Hence, the fuzzy systems need to acquire knowledge by continuous self-organizing its rules to adapt to changing patterns in evolving data streams. Much-efforts have been devoted by several...
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Formato: | Tese |
Idioma: | English |
Publicado em: |
2013
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Acesso em linha: | http://hdl.handle.net/10356/51025 |