ニューロンCMOSインバータを用いた最小ハミング距離検索連想メモリ

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 Minimum Hamming Distance Search Associative Memory Using Neuron CMOS Inverters

著者名: 原田　裕二郎（東海大学大学院産業工学研究科），藤本　邦昭（東海大学大学院産業工学研究科），福原　雅朗（東海大学情報通信学部），吉田　正廣（東海大学情報通信学部）

著者名(英語): Yujiro Harada (Graduate School of Industrial Engineering, Tokai University), Kuniaki Fujimoto (Graduate School of Industrial Engineering, Tokai University), Masaaki Fukuhara (Facluty of Information and Telecommunication Engineering, Tokai University), Masahiro Yoshida (Facluty of Information and Telecommunication Engineering, Tokai University)

キーワード: 連想メモリ，ハミング距離，時間領域，ニューロンCMOSインバータ　　associative memory，Hamming distance，time domain，neuron CMOS inverter

要約(英語): Recently, high-speed searching for the most similar reference data out of the database is needed for data compression, image recognition, network control, and others. However, it takes much time to search for data with software, or hardware using conventional memory. Associative memory has been developed as a high-speed searching device. In this paper, we propose a minimum Hamming distance search associative memory using neuron CMOS inverters. The proposed associative memory is less affected by initial charge and a change of threshold voltage of neuron MOS transistors than conventional neuron CMOS circuits. The proposed circuit also makes searching speed higher by using fully parallel processing. We confirmed that the proposed circuit can be realized expected results by simulation, and experiment using test chip.

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: 36-42 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_36/_article/-char/ja/