在具有时间延迟的储存计算机中,用于存储和预测函数的新分析公式
Peyton Mullarkey1, Sarah Marzen1
1Department of Natural Sciences, Pitzer and Scripps College, Claremont, California 91711, USA.
Chaos (Woodbury, N.Y.)
|October 17, 2025
概括
时间延迟提高了储存器计算性能,改善了内存和预测. 新的公式量化这些能力在线性时间延迟储存器,通过模拟验证.
科学领域:
- 动态系统和控制控制系统
- 机器学习 机器学习
- 信号处理 信号处理
背景情况:
- 储计算利用具有固定的权重的反复的神经网络.
- 储水池的时间延迟增加了有效的维度,可能会提高性能.
- 记忆和预测是时间延迟系统的关键功能.
研究的目的:
- 在线时间延迟储存器中导出用于记忆和预测的闭式表达式.
- 数字验证这些表达式,包括线性化非线性系统.
- 评估多次时间延迟对水库性能的影响.
主要方法:
- 导出用于记忆和预测函数的分析公式.
- 输入功率频谱和储转移功能的分析.
- 时间延迟水库模型的数值模拟.
主要成果:
- 已建立的封闭式表达式将容器性能与输入频谱和传输函数联系起来.
- 通过对各种延迟时间的水库配置进行模拟,证实了分析结果.
- 证明了多次时间延迟对于增强记忆和预测的实用性.
结论:
- 时间延迟对于增强存储库中的记忆和预测至关重要.
- 衍生出的闭式公式为理解这些能力提供了一个理论框架.
- 这项工作有助于设计和优化特定任务的时间延迟储存器.
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