Work

An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity

Year: 2016

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2016.10.061

Authors: D. Negrov, I. Karandashev, V. Shakirov, Yu. Matveyev, W. Dunin-Barkowski, A. Zenkevich

Institutions: Moscow Institute of Physics and Technology, Russian Academy of Sciences, Institute for Systems Analysis, National Research Nuclear University MEPhI

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Russian Science Foundation

Award: G3506698274

OpenAlex ID: W2964124294

FWCI: 2.287

Cites: 25

Cited by: 51

Related to: 10