A CNN universal chip in CMOS technology

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381701

S. Espejo, R. Carmona-Galán, R. Domínguez-Castro, Á. Rodríguez-Vázquez

引用次数: 163

Abstract

This paper describes the design of a CNN universal chip in a standard CMOS technology. The core of the chip consists of an array of 32/spl times/32 completely programmable CNN cells. Input image can be loaded in optical or electrical form. Accuracy is in the range of 7-8 bit and cell density is of 33 cells/mm/sup 2/.<>

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采用CMOS技术的CNN通用芯片

本文介绍了一种基于标准CMOS技术的CNN通用芯片的设计。该芯片的核心由32/spl倍/32个完全可编程CNN单元阵列组成。输入图像可以以光学或电子形式加载。精度在7-8位范围内，单元密度为33个单元/mm/sup 2/。

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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来源期刊

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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