结合人工与自动技术，设计高效的仿生眼镜CNN算法

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI:10.1109/CNNA.2010.5430297

G. E. Pazienza, K. Karacs, E.A. Horvafh, G. Mate

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引用次数: 1

摘要

CNN-UM的程序可以手动或自动设计。这两种方法优缺点互补，两者都不是更好的选择。在本文中，我们发现经验证据表明，这两种技术可以结合起来，以获得更有效和高效的算法。

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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Designing efficient CNN algorithms for the Bionic Eyeglass by combining manual and automatic techniques

Programs for the CNN-UM can be designed either manually or automatically. These two approaches have complementary advantages and disadvantages, and hence neither of them can be considered as the better choice. In this paper, we find empirical evidence that these two techniques can be combined in order to obtain more effective and efficient algorithms.

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2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

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