时间复用CNN构建块单元的实现

Proceedings of Fifth International Conference on Microelectronics for Neural Networks Pub Date : 1996-02-12 DOI:10.1109/MNNFS.1996.493775

K. K. Lai, P. Leong

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引用次数: 12

摘要

提出了一种基于时间复用的细胞神经网络区域高效实现方法。本文介绍了VLSI实现的基本原理、方法和电路结构。仿真结果说明了该电路的工作原理。时间复用细胞神经网络的构建单元已经完成，目前正在制作中。

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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Implementation of time-multiplexed CNN building block cell

We have proposed an area efficient implementation of Cellular Neural Network by using the time-multiplexed method. This paper describes the underlying theory, method, and the circuit architecture of a VLSI implementation. Spice simulation results have been obtained to illustrate the circuit operation. A building block cell of a time-multiplexed cellular neural network has been completed and is currently being fabricated.

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Proceedings of Fifth International Conference on Microelectronics for Neural Networks

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