Design of parallel distributed Cauchy machines

Yoshiyasu Takefuji, H. Szu
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引用次数: 52

Abstract

A parallel and stochastic version of Hopfield-like neural networks is presented. Cauchy color noise is assumed. The specific noise is desirable for fast convergence to a fixed point representing a neighborhood minimum. It can be quickly quenched at each iteration according to a proven cooling schedule in generating random states on the energy landscape. An exact Cauchy acceptance criterion is analytically derived for hill-climbing capability. The improvement is twofold: a faster cooling schedule (the inversely linear cooling schedule characterized by the Cauchy simulated annealing) and parallel executions of all neurons. Such a Cauchy machine can be electronically implemented, and the design is given.<>
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并行分布式柯西机的设计
提出了类hopfield神经网络的并行和随机版本。假设柯西色噪声。特定噪声对于快速收敛到表示邻域最小值的固定点是理想的。它可以在每次迭代中根据一个经过验证的冷却计划在能量景观上生成随机状态来快速淬火。解析导出了一个精确的柯西接受准则。改进是双重的:更快的冷却计划(以柯西模拟退火为特征的逆线性冷却计划)和所有神经元的并行执行。该柯西机可实现电子实现,并给出了设计方案。
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