在数控铣微直线加工程序预读、直线段间平滑算法的基础上，提出了线性变换圆弧平滑算法。
On the base of the program pre-reading and the smooth algorithm between lines for micro-beeline machining of CNC milling, the arc smooth algorithm with linear transformation is brought forward.
在算法库中，除了部分的常规预测算法，如滑动平均、指数平滑、线性回归等，还加入了BP神经网络算法进行预测。
In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast.
通过对目前非线性扩散算法的分析、总结，提出了基于区域特征分析的地形图图像自适应平滑算法。
With the summary and analysis of available anisotropic diffusion algorithms, a new adaptive diffusion algorithm based on image characteristics is presented.
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