摘要
数据拟合问题在日常生活中经常遇到,点的拟合可以通过插值等方法来实现。提出了通过最小二乘法,并利用网格的特性实现点的拟合的方法。拟合过程简单,拟合出的表面光顺性较好。而且由于弹性板的柔性和抗弯性的折中,使得在测量数据存在噪声和数据出现重复的情况下也能得到需要的拟合表面。
Data fitting is frequently used in our life. The points fitting process can be achieved through interpolation methods. According to the least-squares method, it achieves point fitting by the characteristics of the grid. The process is simple, and the surface smoothness is better. Owing to the flexibility and bending elastic plate of trade-offs, surface can be fitted when data is noisy or duplication.
出处
《电脑与电信》
2010年第5期74-75,共2页
Computer & Telecommunication
关键词
柔性板
最小二乘法
网格
拟合
插值
plate
least-squares method
grid
fitting
interpolation
