Anytime information processing based on fuzzy and neural network models
| Data(s) |
11/02/2013
11/02/2013
2001
28/01/2013
|
|---|---|
| Identificador |
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. 0-7803-6646-8 AUT: ARU00698; |
| Idioma(s) |
eng |
| Publicador |
IEEE |
| Direitos |
restrictedAccess |
| Palavras-Chave | #Fuzzy modeling #Neural networks #Anytime systems #Complexity reduction #Singular value decomposition |
| Tipo |
conferenceObject |
| 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. |
