文献
J-GLOBAL ID:201702254561225817
整理番号:17A0472982
シナプス可塑性を用いたメモリスタに基づくニューラルネットワークのための近似逆伝搬学習則【Powered by NICT】
An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity
著者 (11件):
Negrov D.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Karandashev I.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Karandashev I.
(Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russian Federation)
,
Shakirov V.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Shakirov V.
(Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russian Federation)
,
Matveyev Yu.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Matveyev Yu.
(National Research Nuclear University MEPhI, Moscow, Russian Federation)
,
Dunin-Barkowski W.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Dunin-Barkowski W.
(Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russian Federation)
,
Zenkevich A.
(Laboratory of Functional Materials and Devices for Nanoelectronics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation)
,
Zenkevich A.
(National Research Nuclear University MEPhI, Moscow, Russian Federation)
資料名:
Neurocomputing
(Neurocomputing)
巻:
237
ページ:
193-199
発行年:
2017年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)