An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology
Nenhuma Miniatura disponível
Data
2001-12-01
Autores
De Oliveira, J. P. [UNESP]
Oki, N. [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
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.
Descrição
Palavras-chave
CMOS integrated circuits, Computer software, Electric currents, Gain measurement, Neural networks, Numerical methods, VLSI circuits, BiCMOS technology, Gaussian function, Programmable current source, Radial basis neural networks, Integrated circuit manufacture
Como citar
Midwest Symposium on Circuits and Systems, v. 2, p. 705-708.