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高集積化のための細胞体モデルに対する検討

高集積化のための細胞体モデルに対する検討

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カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/01/01

タイトル(英語): A Study on Cell Body Model for Highly Integrated Circuits

著者名: 奥山 敦司(日本大学大学院理工学研究科電子工学専攻),佐伯 勝敏(日本大学理工学部電子工学科),関根 好文(日本大学理工学部電子工学科)

著者名(英語): Atsushi Okuyama (Graduate Course of Electronic Engineering, Graduate School of Science and Technology, Nihon University), Katsutoshi Saeki (Department of Electronics and Computer Science, College of Science and Technology, Nihon University), Yoshifumi Sekine (Department of Electronics and Computer Science, College of Science and Technology, Nihon University)

キーワード: ANN,細胞体モデル,実装面積,非線形電子回路,Nチャネル型MOSFET  Artificial Neural Network,Cell Body Model,Packaging Density,Nonlinear Electronic Circuits,N-Channel MOSFET

要約(英語): A number of recent studies on neural networks have been conducted with the purpose of applying engineering to the brain function. One approach which focuses on the dynamics of the living organism, various Artificial Neural Networks (ANNs) has been proposed. However, the neural network of a living body is very large in scale. Therefore, when we analyze the dynamics using the hardware neural network model, the number of devices and the circuit size should be smaller.In this paper, we aim to reduce the area of a cell body model, and look into the cell body model made up of only NMOS. As a result, it is clearly shown that the packaging density of the proposed model can reduce the size of a traditional model by more than half.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.136 No.1 (2016) 特集:電子回路関連技術

本誌掲載ページ: 16-21 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/1/136_16/_article/-char/ja/

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