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.
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.
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。
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