吸附数据的方程拟合和给定条件的自适应最小二乘样条

来源 :计算机与应用化学 | 被引量 : 0次 | 上传用户:yukeno1
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本文提出了一类给定条件的样条拟合方法。作者导出了能满足给定条件的最小二乘样条拟合正规方程组,讨论了样条节点数及其位置分布对拟合精度的影响,以函数值变化激烈处设置较密节点为原则,成功地开发了一种自适应样条拟合算法。为达到预先规定的拟合精度,这种算法能自动确定节点数及其位置。作者把它用于吸附过程数据的拟合,获得了满意的结果。 In this paper, a class of spline fitting method is given. The author derives the least square spline fitting normal equations which can satisfy the given conditions, discusses the influence of the number of spline nodes and their position distribution on the fitting accuracy, and sets the dense nodes as the principle of changing the function value, An adaptive spline fitting algorithm has been successfully developed. In order to achieve the pre-specified fitting accuracy, this algorithm automatically determines the number of nodes and their positions. The author used it for fitting the adsorption process data and obtained satisfactory results.
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