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- W45175093 abstract "Singular value based reduction has been proposed for a singleton-based generalized neural network that is general in the sense that singleton-consequent-based fuzzy logic function generators are applied to define nonlinear weighting functions on connections among neurons. The product-sum-gravity inference technique with singleton consequent defines piece-wise linear approximation of nonlinear weighting functions. This paper proposed the use of nonsingleton-consequent-based product-sumgravity fuzzy algorithm that results in a piece-wise nonlinear approximation of weighting functions that considerably improve the approximation properties of the generalized network. This network is called a nonsingleton-based generalized neural network. The main objective of this technical report is to introduce the extension of the singular value based reduction technique to the nonsingleton-based neural network." @default.
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- W45175093 date "2000-07-20" @default.
- W45175093 modified "2023-10-18" @default.
- W45175093 title "Complexity Minimalization of Nonsingleton-based Fuzzy-Neural Network" @default.
- W45175093 doi "https://doi.org/10.20965/jaciii.2000.p0286" @default.
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