Neural-net approach to the maximum flow problem

被引：3
|
作者：
Park, GH
Pao, YH
机构：
[1] Yonsei Univ, Dept Comp Sci, Wonju 220710, South Korea
[2] Case Western Reserve Univ, Dept Elect Engn & Appl Phys, Cleveland, OH 44106 USA
来源：
ELECTRONICS LETTERS | 1998年 / 34卷 / 08期
关键词：
D O I：
10.1049/el:19980490
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Most current approaches for solving the maximum flow problem suffer from storage size and convergence time requirements. The authors present a neural-net approach, using the multilevel neuron, which can solve weighted graphs with small storage size and fast convergence speed.
引用
收藏
页码：786 / 787
页数：2
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