SOM (self-organizing map) implemented by wafer scale integration-its self-organizing behavior under defects

M. Yasunaga, I. Hachiya
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Abstract

Self-Organizing Map (SOM) implemented by Wafer Scale Integration (WSI) will provide us very-high-speed and desk-top-size hardware for practical applications. Thanks to a synergistic effect of all neurons for ordering, the SOM-WSI is expected to reach the desired global-ordering-state permitting defective neurons in it. In this paper, we mathematically evaluated the robustness of the SOM against defective neurons. Furthermore, experiments on the defective SOM were carried out and the results agreed well with the theoretical ones. From these evaluations, high fault-tolerance of the present neuro-computer has been shown. The results and the criteria derived from the evaluations can be used for the SOM-WSI design in the next step.
基于晶圆尺度集成的自组织映射——缺陷下的自组织行为
由晶圆规模集成(WSI)实现的自组织映射(SOM)将为实际应用提供非常高速和桌面大小的硬件。由于所有神经元的排序协同效应,SOM-WSI有望达到理想的全局有序状态,允许其中有缺陷的神经元。在本文中,我们从数学上评估了SOM对缺陷神经元的鲁棒性。在此基础上,进行了缺陷SOM的实验,实验结果与理论结果吻合较好。从这些评估中可以看出,目前的神经计算机具有很高的容错性。从评估中得出的结果和标准可用于下一步的SOM-WSI设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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