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Updated: Sep 18, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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在线学习MEMS校准与时间变化和记忆高效的高斯神经拓学

Danilo Pietro Pau1, Simone Tognocchi1, Marco Marcon2

  • 1System Research and Applications, STMicroelectronics, Via C. Olivetti 2, 20864 Agrate Brianza, Italy.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

本研究介绍了一种在设备上的学习方法,使用辐射基函数神经网络 (RBF-NN) 来自校准基于微电机系统的惯性测量单元 (MEMS-IMU). 人工智能方法有效地减少了无需外部处理器的传感器错误,提高了微型飞行器等应用程序的准确性.

关键词:
在传感器中微小的机器学习.惯性传感器校准时间智能传感器处理单元是一个智能传感器处理单元.在设备上学习学习.辐射基础函数 辐射基础函数

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