## 摘要

Petri nets and neural networks share a number of analogies. Investigations of their relationships can be sorted into two categories: (a) the modeling of neural activities with Petri nets, and (b) the neural simulation of Petri nets. The work presented in this paper belongs to the second category. Unlike divide-and-conquer approaches, the proposed method settles the extraneous skeleton of simulators. Inherent distinctions of Petri nets are characterized by the individual constituents of simulators. The constructed simulators thus reveal a consistently uniform structure on a macroscopic level. Compared with those generated by the divide-and-conquer approaches, ours look much portable and are empirically economic. Furthermore, in a fully parallel machine with enough nodes the overall time complexity of the neural simulator will be constant.

原文 | 英語 |
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頁（從 - 到） | 183-207 |

頁數 | 25 |

期刊 | Parallel Computing |

卷 | 25 |

發行號 | 2 |

DOIs | |

出版狀態 | 已發佈 - 1999 |

## ASJC Scopus subject areas

- 軟體
- 理論電腦科學
- 硬體和架構
- 電腦網路與通信
- 電腦繪圖與電腦輔助設計
- 人工智慧