物体间距离的计算在布局问题、动态系统模拟、机器人路径规划及干涉检验等领域具有重要意义。

It is important to compute the distance between objects in some fields such as packing problems, dynamic simulation systems, path planning of robots and collision detection.

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讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。

This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.

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研究了动态面板数据模型的诊断检验问题。

In this paper, some diagnostic checking tools are proposed for dynamic panel data models.

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