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- W1997079314 abstract "The computational power of recurrent radial basis function (RBF) networks is investigated. A recurrent network which consists of O(mlogm) RBF units with maximum norm employing any activation function that has different values in at least two non-negative points is constructed so as to implement a given deterministic finite automaton with m states. The underlying simulation proves to be robust with regard to bounded analog noise for a large class of smooth activation functions with a special type of inflexion." @default.
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- W1997079314 date "2004-12-01" @default.
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- W1997079314 title "Robust RBF finite automata" @default.
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- W1997079314 doi "https://doi.org/10.1016/j.neucom.2003.12.005" @default.
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