The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
Optimization means include improvement of prediction strategy, theoretical formula calculation instead of empiric constants, and correction of formula factors with actual data regression.
其中优化手段主要包括预测策略的改进，采用理论公式计算值替代经验常数，通过实际数据回归修正公式系数等。
An error correction method for three axial fluxgate sensor based on support vector regression (SVR) is proposed.
提出了一种基于支持向量回归机(SVR)的三轴磁通门传感器误差修正方法。
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