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 characte...Show MoreMetadata
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.
Published in: Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)
Date of Conference: 14-17 August 2001
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-7150-X
Contents 