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Artificial neural networks inversion based dynamic compensator of sensors

机译:基于人工神经网络反演的传感器动态补偿器

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A novel dynamic compensator of sensors based on ANN (artificial neural networks) inversion is proposed according to the theory of inverse methods and excellent approach abilities of ANN. ANN inversion-based dynamic compensator of sensor is achieved through offline training the ANN inversion that combines the static ANN and dynamic factors. The dynamic performance of sensor is improved effectively by cascading ANN inversion with the original sensor. Simulation and experiment results indicate that the dynamic performance of sensor is remarkably improved and enhanced using the proposed compensator.
机译:提出了一种基于人工神经网络反演原理的传感器动态补偿器。通过离线训练结合静态ANN和动态因素的ANN反演,可以实现基于ANN反转的传感器动态补偿器。通过将ANN反演与原始传感器进行级联,可以有效提高传感器的动态性能。仿真和实验结果表明,所提出的补偿器可以显着改善和增强传感器的动态性能。

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