### 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 language | English |
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Title of host publication | 91 IEEE Int Jt Conf Neural Networks IJCNN 91 |

Publisher | Publ by IEEE |

Pages | 1906-1911 |

Number of pages | 6 |

ISBN (Print) | 0780302273 |

Publication status | Published - 1991 |

Externally published | Yes |

Event | 1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore Duration: Nov 18 1991 → Nov 21 1991 |

### Publication series

Name | 91 IEEE Int Jt Conf Neural Networks IJCNN 91 |
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### Other

Other | 1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 |
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City | Singapore, Singapore |

Period | 11/18/91 → 11/21/91 |

### 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.