Nonlinear Decoupling Study of Six-Axis Acceleration Sensor Based on Improved BP Neural Network

Aiming at the problem of nonlinear coupling error in the measurement of parallel six-axis accelerometers, this study improves the back propagation (BP) neural network and proposes an improved BP neural network decoupling model that introduces the gradient descent with momentum and the Levenberg–Marq...

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Hlavní autoři:	Jialin Zhang, Chunzhan Yu, Chengxin Du, Zhe Hao, Zhibo Sun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-04-01
Edice:	Sensors
Témata:	six-axis accelerometer parallel mechanism improved BP neural network gradient descent with momentum nonlinear decoupling
On-line přístup:	https://www.mdpi.com/1424-8220/25/7/2280
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