重建曲线至少有6个控制点。这是必要的，以实现理想的连续性当使用曲线表面从网络或扫描第2轨。
Rebuild the curve with at least 6 control points. This is necessary to achieve the desired continuity when using surface from curve network or sweep 2 rails.
针对信息科学和控制理论中经常涉及的一类泛函极值问题，提出基于连续回归神经网络的求解方法。
In this paper, the continuous time recurrent neural network is proposed to solve the functional minimization problem, which is often involved in estimation and control.
介绍了以连续合格品数为控制对象的方法以及实现该方法的神经网络核心技术。
The method of taking continuous qualified product counts as the control objects and the kernel technology of neural network for realizing this method are introduced.
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