Anytime information processing based on fuzzy and neural network models

A. R. Vákonyi-Kóczy, A. Ruano, P. Baranyi, O. Takács

Research output: Conference contribution

26 Citations (Scopus)

Abstract

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 different soft computing methods are wide-spreadly used in system modeling, their usability in these cases are limited, because the lack of an universal method for the determination of the needed complexity often results in huge and redundant neural networks/fuzzy rule-bases. This paper proposes a possible way to carry out anytime information processing in fuzzy systems or neural networks, with the help of the Singular Value Decomposition (SVD)-based complexity reduction algorithm.

Original languageEnglish
Title of host publicationConference Record - IEEE Instrumentation and Measurement Technology Conference
Pages1247-1252
Number of pages6
Volume2
Publication statusPublished - 2001
Event18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics - Budapest, Hungary
Duration: máj. 21 2001máj. 23 2001

Other

Other18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics
CountryHungary
CityBudapest
Period5/21/015/23/01

Fingerprint

fuzzy systems
Neural networks
Soft computing
Fuzzy rules
Fuzzy systems
Singular value decomposition
resources
Control systems
decomposition

ASJC Scopus subject areas

  • Instrumentation

Cite this

Vákonyi-Kóczy, A. R., Ruano, A., Baranyi, P., & Takács, O. (2001). Anytime information processing based on fuzzy and neural network models. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (Vol. 2, pp. 1247-1252)

Anytime information processing based on fuzzy and neural network models. / Vákonyi-Kóczy, A. R.; Ruano, A.; Baranyi, P.; Takács, O.

Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2 2001. p. 1247-1252.

Research output: Conference contribution

Vákonyi-Kóczy, AR, Ruano, A, Baranyi, P & Takács, O 2001, Anytime information processing based on fuzzy and neural network models. in Conference Record - IEEE Instrumentation and Measurement Technology Conference. vol. 2, pp. 1247-1252, 18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics, Budapest, Hungary, 5/21/01.
Vákonyi-Kóczy AR, Ruano A, Baranyi P, Takács O. Anytime information processing based on fuzzy and neural network models. In Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2. 2001. p. 1247-1252
Vákonyi-Kóczy, A. R. ; Ruano, A. ; Baranyi, P. ; Takács, O. / Anytime information processing based on fuzzy and neural network models. Conference Record - IEEE Instrumentation and Measurement Technology Conference. Vol. 2 2001. pp. 1247-1252
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