具有温度梯度的级联玻尔兹曼机的优化:模拟退火的替代方案

J. Coughlin, R. Baran
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引用次数: 1

摘要

玻尔兹曼机可以与单向视网膜定位连接串联,以产生经典优化问题的良好(次优)解决方案。该系列中的每个等温博克兹曼机的温度都低于驱动它通过激发生成环节的温度。该方案是通常的模拟退火方法的替代方案,其中单个网络在一段时间内冷却。最简单的情况是两个相同的子网,一个处于正温度,另一个处于零温度。将该方法与几何冷却模拟退火方法在求解n-to-n分配问题上的性能进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization in cascaded Boltzmann machines with a temperature gradient: an alternative to simulated annealing
Boltzmann machines can be series-coupled with one-way retinotopic connections to produce good (suboptimal) solutions to classic optimization problems. Each isothermal Bokzmann machine in the series has a lower temperature than the one which drives it through excitatory spanning links. This scheme is an alternative to the usual simulated annealing approach in which a single network is cooled over the course of time. The simplest case features two identical subnets, one at a positive temperature and the other at zero temperature. Its performance in solving n-to-n assignment probems is compared to that obtained by simulated annealing with a geometric cooling schedule.
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