BP神经网络的系统误差修正方法的修正精度比球谐函数法提高约20%，有望用到球谐函数法不适用的三轴光电跟踪系统的系统误差修正中。

BP neural network system errors modifying method improves the precision than globe function method about 20% and may be used in three-axis photoelectric tracking system.

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摘要 ： 提出了一种基于径向基函数（RBF）神经网络建立光电经纬仪等效跟踪误差模型的方法来评价光电经纬仪的跟踪性能。

Abstract : To effectively evaluate the tracking ability of a photoelectric theodolite, a new tracking error model based on the Radial Basis Function(RBF) neural network was established.

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