Details

Autor(en) / Beteiligte

• Türel, Özgür
• Lee, Jung Hoon
• Ma, Xiaolong
• Likharev, Konstantin K.

Titel

Architectures for nanoelectronic implementation of artificial neural networks: new results

Ist Teil von

• Neurocomputing (Amsterdam), 2005-03, Vol.64, p.271-283

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2005

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Hybrid semiconductor/molecular (“CMOL”) circuits may be used for hardware implementation of artificial neural network. Our studies show that such networks (“CrossNets”) may eventually exceed the mammal brain in areal density, at much higher speed and acceptable power consumption. In this report, we demonstrate that CrossNets based on simple (two-terminal) molecular devices can work well in at least two modes: as Hopfield networks with high defect tolerance, and multilayer perceptrons.