An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology

J.P De Oliveira,N Oki

doi:10.1109/mwscas.2001.986285

An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology

J.P De Oliveira, N Oki

https://doi.org/10.1109/mwscas.2001.986285

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Publication Date: Dec 1, 2001

Citations: 6

Affiliation: Universidade Estadual Paulista (Unesp)

#Radial Basis Neural Networks #Programmable Current Source + Show 8 more

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Abstract

This paper describes an analog implementation of radial basis neural networks (RBNN) in BiCMOS technology. The RBNN uses a Gaussian function obtained through the characteristic of the bipolar differential pair. The Gaussian parameters (gain, center and width) are changed with a programmable current source. Results obtained with PSPICE software are shown.

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