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Poster

Toward nano-device image processing: a neuro-inspired learning approach

Abstract : As nano-scale devices such as OG-CNTFETs are under studies and may be used in a near future, we choose to investigate in which 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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Poster
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01880842
Contributeur : Lead - Université de Bourgogne <>
Soumis le : mardi 25 septembre 2018 - 11:29:13
Dernière modification le : lundi 10 février 2020 - 18:12:32

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  • HAL Id : hal-01880842, version 1

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Michel Paindavoine, Olivier Brousse, Christian Gamrat. Toward nano-device image processing: a neuro-inspired learning approach. Colloque national du GDR SOC-SIP, Jun 2010, Cergy, France. ⟨hal-01880842⟩

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