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タイトルFuzzy operators and cyclic behavior in formal neuronal networks
著者(英)Labos, E.; Labos, A. S.; Laczko, J.; Holden, A. V.; Orzo, L.
著者所属(英)Hungarian Academy of Sciences
発行日1992-12-01
言語eng
内容記述Formal 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.
NASA分類THEORETICAL MATHEMATICS
レポートNO93N29576
権利No Copyright


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