One-Board Design and Simulation of Double-Layer Perceptron Based on Metal-Oxide Memristive Nanostructures.

Alexey N. Mikhaylov,Oleg A. Morozov, Pavel E. Ovchinnikov,Ivan N. Antonov,Alexey I. Belov,Dmitry S. Korolev,Alexander N. Sharapov,Evgeniy G. Gryaznov,Oleg N. Gorshkov,Yana I. Pigareva,Alexey S. Pimashkin,Sergey A. Lobov,Victor B. Kazantsev

IEEE Transactions on Emerging Topics in Computational Intelligence（2018）

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摘要

Design and training principles have been proposed and tested for an artificial neural network based on metal-oxide thin-film nanostructures possessing bipolar resistive switching (memristive) effect. Experimental electronic circuit of neural network is implemented as a double-layer perceptron with a weight matrix composed of 32 memristive devices. The network training algorithm takes into account ...

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关键词

Nanostructures,Resistance,Biological neural networks,Memristors,Hardware,Electrodes,Dielectrics

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