Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2299
Título: Anytime information processing based on fuzzy and neural network models
Autor: Varkonyi-Koczy, A. R.
Ruano, A. E.
Baranyi, P.
Takacs, O.
Palavras-chave: Fuzzy modeling
Neural networks
Anytime systems
Complexity reduction
Singular value decomposition
Data: 2001
Editora: IEEE
Citação: Varkonyi-Koczy, A. R.; Ruano, A.; Baranyi, P.; Takacs, O. Anytime information processing based on fuzzy and neural network models, Trabalho apresentado em IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics, In IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188), Budapest, Hungary, 2001.
Resumo: In modern measurement and control systems, the available time and resources are often not only limited, but could change during the operation of the system. In these cases, the so-called anytime algorithms could be used advantageously. While diflerent soft computing methods are wide-spreadly used in system modeling, their usability in these cases are limited.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2299
ISBN: 0-7803-6646-8
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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