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 .
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
CLC Number:
GAO Jian. A Mean Field Annealing Neural Networks Algorithm on Link Enhancement Strategy for Computer Networks[J]. , 2003, 29(09): 38-39.
高坚. 计算机网络连接增强优化中的均场神经网络算法[J]. , 2003, 29(09): 38-39.