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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Detalhes bibliográficos
Autor principal: Mahardhika Pratama.
Outros Autores: Er Meng Joo
Formato: Tese
Idioma:English
Publicado em: 2013
Assuntos:
Acesso em linha:http://hdl.handle.net/10356/51025