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

Actas de congresos

Fecha

2001-12-01

Registro en:

Midwest Symposium on Circuits and Systems, v. 2, p. 705-708.

http://hdl.handle.net/11449/66666

10.1109/MWSCAS.2001.986285

WOS:000175971700158

2-s2.0-0035575292

1525717947689076

Autor

Universidade Estadual Paulista (Unesp)

Institución

Universidade Estadual Paulista (Brasil)

Resumen

This paper describes a 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) is changed with programmable current source. Results obtained with PSPICE software is showed.

Materias

CMOS integrated circuits

Programmable current source

Radial basis neural networks

Integrated circuit manufacture

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