Analog maximum neural network circuits using the switched capacitor technique

Yong Beom Cho, Kuo Chun Lee, Yoshiyasu Takefuji, Nobuo Funabiki

研究成果: Conference contribution

抄録

The circuit of the maximum neural network based on the switched capacitor technique is proposed. The performance of the proposed circuit was derived from SPICE simulation. The bipartite subgraph problem is solved by using the proposed circuit. The SPICE simulation result confirms the function of the network. Because the complexity of the proposed analog circuit is so small, it is possible to fabricate an optimization system in a single chip.

本文言語English
ホスト出版物のタイトル91 IEEE Int Jt Conf Neural Networks IJCNN 91
出版社Publ by IEEE
ページ1906-1911
ページ数6
ISBN(印刷版)0780302273
出版ステータスPublished - 1991
外部発表はい
イベント1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
継続期間: 1991 11 181991 11 21

出版物シリーズ

名前91 IEEE Int Jt Conf Neural Networks IJCNN 91

Other

Other1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period91/11/1891/11/21

ASJC Scopus subject areas

  • 工学(全般)

フィンガープリント

「Analog maximum neural network circuits using the switched capacitor technique」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル