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Fuzzy operators and cyclic behavior in formal neuronal networksFormal neuronal networks (FNN), which are comprised of threshold gates, make use of the unit step function. It is regarded as a degenerated distribution function (DDF) and will be referred to here as a non-fuzzy threshold operator (nFTO). Special networks of this kind generating long cycles of states are modified by introduction of fuzzy threshold operators (FTO), i.e., non-degenerated distribution functions (nDDF). The cyclic behavior of the new nets is compared with the original ones. The interconnection matrix and threshold values are not modified. It is concluded that the original long cycles change the fixed points and short cycles, and as the computer simulations demonstrate, the aperiodic motion that is associated with chaotic behavior appears. The emergence of the above changes depend on the steepness of the threshold operators.
Document ID
19930020387
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Labos, E.
(Hungarian Academy of Sciences Budapest, Hungary)
Holden, A. V.
(Leeds Univ. United Kingdom)
Laczko, J.
(Ludwig-Maximilians-Univ. Munich, Germany)
Orzo, L.
(Hungarian Academy of Sciences Budapest, Hungary)
Labos, A. S.
(Hungarian Academy of Sciences Budapest, Hungary)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 2
Subject Category
Theoretical Mathematics
Accession Number
93N29576
Funding Number(s)
CONTRACT_GRANT: OTKA-2621
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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