The design of a new digitally programmable analogue circuit well suited for the implementation of several sets of nonlinear functions by approximating them by using a linear combination of sigmoidal terms is presented. The proposed circuit, allowing the building of several collections of nonlinear functions, would be useful in modelling artificial neural networks, fuzzy as well as partial differential equations based circuits.
Sargeni, F., Bonaiuto, V. (2005). Digitally programmable nonlinear function generator for neural networks. ELECTRONICS LETTERS, 41(3), 143-145 [10.1049/el:20056397].
Digitally programmable nonlinear function generator for neural networks
SARGENI, FAUSTO;BONAIUTO, VINCENZO
2005-01-01
Abstract
The design of a new digitally programmable analogue circuit well suited for the implementation of several sets of nonlinear functions by approximating them by using a linear combination of sigmoidal terms is presented. The proposed circuit, allowing the building of several collections of nonlinear functions, would be useful in modelling artificial neural networks, fuzzy as well as partial differential equations based circuits.File in questo prodotto:
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