低功耗神经模糊脉冲流系统

Proceedings of Fifth International Conference on Microelectronics for Neural Networks Pub Date : 1996-02-12 DOI:10.1109/MNNFS.1996.493791

M. Chiaberge, E. Miranda Sologuren, L. Reyneri

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引用次数: 2

摘要

本文介绍了一种基于相干脉宽调制的低功耗神经模糊计算VLSI器件的设计。该装置可以实现多层感知器、径向基函数或模糊范式。在所有情况下，重量都以电压的形式存储在一对电容器上，由内置的自刷新电路依次刷新。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A low-power Neuro-Fuzzy pulse stream system

This paper describes a VLSI device design for low-power neuro-fuzzy computation, which is based on coherent pulse width modulation. The device can implement either multi-layer perceptrons, radial basis functions or fuzzy paradigms. In all cases, weights are stored as a voltage on a pair of capacitors, which are sequentially refreshed by a built-in self-refresh circuit.

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Proceedings of Fifth International Conference on Microelectronics for Neural Networks

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