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基于改进型脉冲耦合神经网络的关键路径求解
引用本文:白云洪,周冬明,赵东风,杜华. 基于改进型脉冲耦合神经网络的关键路径求解[J]. 云南大学学报(自然科学版), 2008, 30(3): 233-238
作者姓名:白云洪  周冬明  赵东风  杜华
作者单位:云南大学,信息学院通信工程系,云南,昆明,650091
基金项目:云南省自然科学基金 , 云南大学重点项目
摘    要: 在脉冲耦合神经网络(PCNN-Pulse Coupled Neural Network)的基础上,提出了改进型脉冲耦合神经网络(mPCNN-modified PCNN)模型,并将其用于AOE-网的关键路径问题的求解.该方法通过快速并行计算,一次正向计算即可求解AOE-网的所有关键路径,与传统方法相比体现了较好的优势.

关 键 词:改进型PCNN  AOE-网  关键路径
文章编号:0258-7971(2008)03-0233-06
修稿时间:2007-07-17

Solution of critical paths based on modified pulse coupled neural net works
BAI Yun-hong,ZHOU Dong-ming,ZHAO Dong-feng,DU Hua. Solution of critical paths based on modified pulse coupled neural net works[J]. Journal of Yunnan University(Natural Sciences), 2008, 30(3): 233-238
Authors:BAI Yun-hong  ZHOU Dong-ming  ZHAO Dong-feng  DU Hua
Affiliation:Department of Communication Engineering, School of Information, Yunnan University, Kunming 650091, China
Abstract:It is presented mPCNN (modified Pulse Coupled Neural Network) model based on PCNN model,and mPCNN is used to solve the critical paths problem of the Activity On Edge (AOE) nets successfully.Compared with traditional method in the critical paths problems solution,the proposed approach has better advantages which it can solve all critical paths problems of the AOE nets by fast parallel calculation and a positive direction calculation.
Keywords:modified PCNN  AOE-nets  critical paths
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