Analog maximum neural network circuits using the switched capacitor technique

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication91 IEEE Int Jt Conf Neural Networks IJCNN 91
PublisherPubl by IEEE
Pages1906-1911
Number of pages6
ISBN (Print)0780302273
Publication statusPublished - 1991
Externally publishedYes
Event1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
Duration: Nov 18 1991Nov 21 1991

Publication series

Name91 IEEE Int Jt Conf Neural Networks IJCNN 91

Other

Other1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period11/18/9111/21/91

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Cho, Y. B., Lee, K. C., Takefuji, Y., & Funabiki, N. (1991). Analog maximum neural network circuits using the switched capacitor technique. In 91 IEEE Int Jt Conf Neural Networks IJCNN 91 (pp. 1906-1911). (91 IEEE Int Jt Conf Neural Networks IJCNN 91). Publ by IEEE.