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

Michel Paindavoine; Olivier Brousse; Christian Gamrat

Poster

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

Michel Paindavoine ¹ Olivier Brousse ¹ Christian Gamrat ^{2, 1}

1 LEAD - Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon]

2 LCEI - Laboratoire Calculateurs Embarqués et Image

LIST - Laboratoire d'Intégration des Systèmes et des Technologies : DRT/LIST

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.

Type de document :

Poster

Domaine :

Sciences cognitives / Psychologie

Liste complète des métadonnées

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 : jeudi 12 novembre 2020 - 17:10:04

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

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