Study on Improvement of Recall Accuracy by Improving Synchronization Using Hopfiled Network with Synchronization Network by CPG Network

被引:0
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作者
CPG により生成した同期信号を用いることによるHopfiled Network の同期性改善と想起精度に対する検討 [1 ]
机构
[1] Sasaki, Yoshiki
关键词
Hopfield neural networks;
D O I
10.1541/ieejeiss.145.45
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学科分类号
摘要
In this paper, we proposed a solution to the problem of signal dyssynchronization originating from signal delay in a Hopfield network constructed using a spiking neuron model that can be built as an electronic circuit using only standard CMOS processes, by connecting a rhythm generation network We attempted to solve this problem by connecting a CPG model, which is a rhythm-generating network that exists in the spinal cord. As a result, the CPG reduced the delay time by 91.7% and improved the synchronization. We also found that the CPG can improve the recall accuracy of time-series data. © 2025 The Institute of Electrical Engineers of Japan.
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页码:45 / 51
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