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针对测量用传感器非线性拟合技术问题,研究采用神经网络技术对传感器非线性误差予以补偿修正,并采用传统数据拟合算法加以比对验证,证明应用神经网络技术可以有效解决多传感器非线性拟合问题。
Aiming at the problem of non-linear fitting of measuring sensors, neural network technology is used to compensate and correct the nonlinear error of the sensor. The traditional data fitting algorithm is used to verify the comparison. It is proved that neural network technology can effectively solve the problem of multi-sensor nonlinearity Together