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Articles by keyword Memristors
Quantitative determination of fault tolerance of artificial neural networks based on memristors

S.N. Danilin – Ph. D. (Eng.), Associate Professor,

Murom Institute (branch) Federal state budgetary Educational Institution of Higher Education 

«Vladimir State University named after A.G. and N.G. Stoletovs»

E-mail: dsn-55@mail.ru

S.A. Shchanikov – Ph. D. (Eng.), Associate Professor, Dean, The faculty of Information Technology, Murom Institute (branch) 

Federal state budgetary Educational Institution of Higher Education 

«Vladimir State University named after A.G. and N.G. Stoletovs»

E-mail: seach@inbox.ru

I.A. Bordanov – engineer,

Murom Institute (branch) Federal state budgetary Educational Institution of Higher Education 

«Vladimir State University named after A.G. and N.G. Stoletovs»

E-mail: bordanov2011@yandex.ru

A.D. Zuev – engineer,

Murom Institute (branch) Federal state budgetary Educational Institution of Higher Education  «Vladimir State University named after A.G. and N.G. Stoletovs» E-mail: ad-nemo@mail.ru

Memristive technologies for the implementation of a neural network element base

V.P. Zhalnin1, V. Aiguzhin2, M.E. Apakov3, A.M. Panfilkin4

1–4 Bauman Moscow State Technical University (Moscow, Russia)