利用BiCMOS技术模拟实现径向基神经网络(RBNN)

Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257) Pub Date : 2001-12-01 DOI:10.1109/MWSCAS.2001.986285

J.P. de Oliveira, N. Oki

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引用次数: 6

摘要

本文描述了径向基神经网络(RBNN)在BiCMOS技术中的模拟实现。RBNN使用通过双极差分对的特性得到的高斯函数。高斯参数(增益、中心和宽度)可通过可编程电流源改变。给出了用PSPICE软件得到的结果。

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

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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Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)

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