相关实验视频

Updated: Jan 13, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

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风场校正方法的研究 整合位置信息和代理分歧

Jianhong Gan1,2,3,4, Mengjia Zhang1,2,3, Cen Gao5

  • 1College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China.

Biomimetics (Basel, Switzerland)
|October 28, 2025
PubMed
概括

我们开发了PPWNet,这是一种深度学习模型,使用稀疏的观测数据进行精确的风场校正. 与传统方法相比,这种基于物理学的方法显著改善了风速和风向预测.

关键词:
注意力机制注意力机制超参数优化超参数优化物理的一致性.点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网点网位置信息 位置信息风场纠正风场的纠正

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