optical sensing and photodetectors
长短期记忆网络最小均方算法
LSTM-LMSA variable step-size Least Mean Square (LMS) algorithm integrated with Long Short-Term Memory (LSTM) neural networks for adaptive noise suppression in Sagnac interferometric systems / 一种集成长短期记忆网络的最小均方算法，用于Sagnac干涉系统的自适应噪声抑制
- Knowledge type
- 工艺技术
- First proposed or discovered
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- Turkey Farm member
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- 农场主
- Last updated
- 2026-11-14 20:05:52
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Main parameters and performance indicators
variable step-size: controls convergence speed and stabilityLSTM: captures temporal dependencies in noise signalsSagnac interferometric system: target system for noise suppression
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Related literature
ranked by community starsAdaptive noise suppression for Sagnac interferometric system with variable step-size LSTM-LMS methodOpen source
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1 recordsRecord title: LSTM-LMS.
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