Analysis for optimizer based on spiking-neural oscillator networks with a simple network topology

被引：0

作者：

Sasaki, Tomoyuki ^{[1
]}

Nakano, Hidehiro ^{[2
]}

机构：

[1] Shonan Inst Technol, Dept Informat, Fujisawa, Kanagawa, Japan

[2] Tokyo City Univ, Dept Comp Sci, Setagaya Ku, Tokyo, Japan

来源：

2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 | 2024年

关键词：

Swarm intelligence algorithm; particle swarm optimization; deterministic system; spiking oscillator networks; coupling interaction; PARTICLE SWARM; CONVERGENCE;

D O I：

10.1109/ISCAS58744.2024.10557908

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based on dynamics of spiking neural-oscillator networks. In OSNNs, each particle consists of plural spiking oscillators which are coupled with other spiking oscillators by the Ring 1-way network. The Ring 1-way network affects search performances of OSNNs. However, an effectiveness of the Ring 1-way network has not been clarified. In this study, we theoretically analyze the Ring 1-way OSNNs in more detail. In addition, in order to demonstrate analytical results, we conduct numerical simulations and discuss the simulation results.

引用

页数：5

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