复值协同计算机对联想记忆检索性能的研究

M. Kimura, T. Isokawa, H. Nishimura, N. Matsui
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引用次数: 1

摘要

本文探讨了基于复值协同计算机(CVSC)的联想记忆的特性和性能。CVSC的所有参数都采用复值编码。CVSC是对参数实数化的传统协同计算机(RVSC)的扩展。通过对输入图像部分遮挡或受噪声影响的图像检索问题,研究了CVSC中联想记忆的性能。从不同大小的图像和不同程度的缺陷输入图像的检索性能的实验结果来看,我们发现CVSC优于RVSC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On retrieval performance of associative memory by Complex-valued Synergetic Computer
Properties and performances of associative memories, based on Complex-valued Synergetic Computer (CVSC), are explored in this paper. All the parameters of CVSC are encoded by complex values. CVSC is extended from the conventional Synergetic Computer (RVSC) in which the parameters are real values. Performances of associative memories in CVSC are investigated through a problem of image retrievals where the input images are partially occluded or noise-affected. From the experimental results concerning the retrieval performances related to various sizes of images and different levels of defectiveness of input images, we found that CVSC outperforms RVSC.
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