用最小二乘法求出了刀具拟合直线，并对拟合直线进行了修正，保证了修正后的创成表面与原拟合直线创成表面相吻合。
The cutter curve is fitted with the least square method and corrected to assure the corrected generation surface is identical with that of original fitted curve.
研究了渐消记忆递归最小二乘法在背景建立中的应用，修正增益因子，引入更多的背景信息，对复杂背景进行更加完善的预测建立。
Applying the recursive least square method to background rebuild, revising the gain factor and bringing in much information forecast more perfect complex background.
本文采用两种方法来解决高温温区的外推标定问题，即基于二次曲线的导数最小二乘法和基于修正指数模型的趋势外推法。
One is differential least square method based on conic, and the other method is trend extrapolation based on modified exponential model.
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