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›› 2003, Vol. 29 ›› Issue (09): 38-39.

• 论文 • 上一篇    下一篇

计算机网络连接增强优化中的均场神经网络算法

高坚   

  1. 烟台大学计算机学院 烟台 264005
  • 发布日期:2003-05-15

A Mean Field Annealing Neural Networks Algorithm on Link Enhancement Strategy for Computer Networks

GAO Jian   

  1. (Computer Institute, Yantai University, Yantai 264005)
  • Published:2003-05-15

摘要: 计算机网络结构在进行拓扑扩展时,经常要解决这样一类优化问题:在给定预算限制下,选择一组连接,使带来的利润最大。该文利用均场退火技术和神经网络算法,提出了一种新的解决方法——均场神经网络算法。用该算法求解连接增强问题能更快、更有效地得到全局最优解。

关键词: 网络结构拓扑扩展, 均场退火技术, 神经网络

Abstract: Topological expansion of a computer network frequently involves an optimization problem of selecting proper links so that they can produce maximum profit within a given budget limit. This paper gives a new algorithm to solve the problem ——mean field annealing neural networks algorithm, based on mean field annealing and neural networks algorithm .The algorithm can get an optimal solution quickly .

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