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Updated: May 13, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

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Published on: March 10, 2011

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应用神经网络作为直接控制器在全体无人机的位置和轨迹跟踪算法

Cezary Kownacki1, Slawomir Romaniuk2, Marcin Derlatka3

  • 1Department of Automation of Manufacturing Processes, Bialystok University of Technology, 15-351, Białystok, Poland. c.kownacki@pb.edu.pl.

Scientific reports
|April 12, 2025
PubMed
概括

深度神经网络 (DNN) 为四旋翼控制提供高轨迹跟踪精度,优于其他神经网络. 更简单的模型为实时应用程序提供更低的延迟,平衡性能与特定的控制需求.

关键词:
人工潜力场是一个人造潜力场.深度神经网络是一种深度神经网络.多层感知器多层感知器神经网络的神经网络的神经网络路径跟踪 路径跟踪四旋翼飞行器四旋翼飞行器剩余的神经网络 剩余的神经网络无人机无人机无人机是什么?

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