基于纳米器件实现的低级图像处理任务的神经启发学习

5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era Pub Date : 2010-03-23 DOI:10.1109/DTIS.2010.5487553

O. Brousse, M. Paindavoine, C. Gamrat

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引用次数: 2

摘要

由于ogg - cntfet等纳米级器件正在研究中，并可能在不久的将来使用，我们选择调查哪些应用领域可能最感兴趣。在本文中，我们介绍了如何使用神经网络来实现纳米级组件上的功能。该方法已在图像处理应用领域得到验证。

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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Neuro-inspired learning of low-level image processing tasks for implementation based on nano-devices

As nanoscale devices such as OG-CNTFETs are under studies and may be used in a near futur, we choose to investigate in wich application domain such components may be of the most interest. In this paper we present how neural networks can be used to implement functions on nano-scale components. This method has been tested in the image processing application field.

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5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era

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