Title:
多層ニューラルネットワークのニューロンの出力レベル調整方法
Document Type and Number:
Japanese Patent JP6724869
Kind Code:
B2
Abstract:
A method for adjusting output level of a neuron in a multilayer neural network is provided. The multilayer neural network includes a memristor and an analog processing circuit, causing transmission of the signals between the neurons and the signal processing in the neurons to be performed in an analog region. The method includes an adjustment step that adjusts an output level of the neurons of each of the layers, causing the output value to become lower than a write threshold voltage of the memristor and to fall within a maximum output range set for the analog processing circuit executing the generation of the output value in accordance with the activation function when each of the output values of the neurons of each of the layers becomes highest.
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Inventors:
Kataheva Irina
Shigeki Otsuka
Shigeki Otsuka
Application Number:
JP2017119685A
Publication Date:
July 15, 2020
Filing Date:
June 19, 2017
Export Citation:
Assignee:
株式会社デンソー
International Classes:
G06N3/063; G06G7/60; G06N3/04
Domestic Patent References:
| JP2013534677A |
Foreign References:
| US20170017877 |
Other References:
YAKOPCIC, Chris et al.,"Memristor Crossbar Deep Network Implementation Based on a Convolutional Neural Network",2016 International Joint Conference on Neural Networks (IJCNN) [online],米国,IEEE,2016年,pp.963-970,[検索日 2018.06.11], インターネット:
Attorney, Agent or Firm:
Kazuyuki Yahagi
Taihei Nonobe
Takanori Kubo
Taihei Nonobe
Takanori Kubo