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Nonlinear compensation of capacitance weighing sensors based on Neural Networks with Orthonormal Functions

机译:基于正交函数神经网络的电容称重传感器的非线性补偿

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The relationship between output voltage and the loading of the capacitance weighing sensor is nonlinear. To obtain accurate measurement, it is necessary to compensate the nonlinearity. A nonlinear compensation method based on Neural Networks with Orthonormal Functions is proposed in this paper. The convergence of the neural network algorithm is researched. The result shows that the method proposed has high accurate. Therefore, the method proposed is effective and may be used for other applications.
机译:输出电压与电容称重传感器的负载之间的关系是非线性的。为了获得准确的测量,必须补偿非线性。提出了一种基于正交函数神经网络的非线性补偿方法。研究了神经网络算法的收敛性。结果表明,该方法具有较高的准确性。因此,提出的方法是有效的并且可以用于其他应用。

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