polynomial curve fitting信息详情

polynomial curve fitting发音

意思翻译

多项式曲线拟合

相似词语短语

polynomial───n.多项式;多词拉丁学名;表示任何多项数之和;adj.多项的,多词的;多项式的

fitting───n.(设备或家具的)配件,附件;可拆除装置(常复数);安装,装配;试衣;n.(Fitting)(美)菲廷(人名);v.合适;试穿;安置;组合;符合;癫痫发作(fit的现在分词);adj.适合的,恰当的;在某方面合适的,合身的

curve───vt.弯;使弯曲;adj.弯曲的;曲线形的;n.曲线;弯曲;曲线球;曲线图表;vi.成曲形

stupidity curve───愚蠢曲线

chromatic polynomial───色多项式

characteristic polynomial───[数]特征多项式

perfect fitting───完全配合;完全拟合

invariant polynomial───不变多项式

polynomial equation───[数]多项式方程

双语使用场景

The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.───该算法是在最小二乘意义上的多项式曲线拟合,实验结果表明,其校正效果明显优于分段线性校正算法。

Polynomial curve fitting is a usually used data fitting method. When there are too many data for fitting, only just one polynomial curve function cannot acquire good fitting effect.───多项式曲线拟合是一种较常用的数据处理方法,但当数据点较多时,只采用一种多项式曲线函数拟合所有数据点难以取得较好的拟合效果。

The proposed method can give more reasonable and more promising prediction results as compared with polynomial curve fitting technique.───此外,与多项式曲线拟合法的对比分析表明,该方法优于传统的多项式曲线拟合法,具有更好的预测效果。

Polynomial Curve Fitting Method for the Design of Highway Horizontal Alignment───公路平面线形设计的多项式曲线拟合法

英语使用场景

The author proposes a sectional line fitting to re- place the polynomial curve fitting, which results in simplifying establishment of mathematical model and reducing the amount of calculation work.

Polynomial curve fitting with a least-square calculation is used to avoid difficulties for obtaining the structure information before damaged.

The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.

The proposed method can give more reasonable and more promising prediction results as compared with polynomial curve fitting technique.

Using high-order polynomial curve fitting to smooth pre-processed measurement data can provide good results, but will increase processing complexity and even cause instability.

Polynomial curve fitting is a usually used data fitting method. When there are too many data for fitting, only just one polynomial curve function cannot acquire good fitting effect.