1、

The topology structure of Condition-shift network is composed by condition set shift set and directed arc.

状态转移网的拓扑结构是由状态集和转移集以及它们之间的有向连线组成。

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2、

A concept of resource loop and directed assistant arc are drawn into to improve reliability by controlling its activity.

引入资源回路和有向辅助弧的概念,通过对其活性进行控制而提高系统的可靠性。

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3、

Raises a method of window-based vector quantization for primitive division and a method based on RBF neural network for primitive classification directed to gain arc primitives from natural images and analysed the affect of 3 main parameters of it.

针对自然图象中圆弧基元的获取提出了窗口矢量化的分割方法和基于RBF神经网络的分类方法。详细分析了三个主要参数的作用。

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4、

Directed geometry and circular arc spline approximation for fitting plane parametric curves

有向几何及平面参数曲线的圆弧样条拟合

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