数字硬件实现的一种用于分类的神经网络

Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004. Pub Date : 2004-12-06 DOI:10.1109/ICM.2004.1434722

H. Faiedh, Z. Gafsi, K. Torki, K. Besbes

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引用次数: 17

摘要

在本文中，我们提出了神经网络的全数字化硬件实现。我们描述了一个数字人工神经元的功能，并提出了一个通用神经网络的一般架构。最后以静态神经网络为例说明了该方法的有效性。

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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Digital hardware implementation of a neural network used for classification

In this paper, we propose a fully digital hardware implementation of neural networks. We describe the functioning of a digital artificial neuron and we propose a general architecture of a generic neural network. An example of a static neural network is given to show the efficiency of the implementation.

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来源期刊

Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.

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