拟合曲线

Unit 4: We introduce two methods of curve fitting, and then make use of them to extract body contour line, find the optimum fitting method.

第四部分：介绍了两种曲线拟合方法，接着利用它们分别对人体轮廓线进行提取，得出最佳的拟合方法。

Cubic spline function fitting is a good method in the curve fitting because it is characterized by very good subsection smoothness.

三次样条函数拟合是曲线拟合的一个公认的较好方法，它具有很好的分段光滑性。

First, with the help of I-H model and Y-T model, the luminescence decay curve of 〓 of Tm〓 was fitted, and the fitted values of corresponding energy transfer interaction parameter C〓 and energy migration interaction parameter C〓 were calculated.

首先，藉助I-H、Y-T模型拟合了Tm〓的〓的发光衰减曲线，得到了相应的能量迁移和能量传递的作用参数C〓和C〓的拟合值。

Based on a series of shear creep tests of discontinuous plane with regular dentation,the relationship between shear creep and different normal stress,shear stress,and slope ratio is obtained.

文章在规则齿形结构面剪切蠕变试验的基础上，分析了剪切蠕变随不同的爬坡角、正应力和剪应力的影响，拟合了剪切蠕变曲线，并将拟合的方程与Burgers模型的本构方程进行了比较分析，讨论了Burgers模型中剪切模量、粘滞系数的变化规律及其影响因素，取得了较为理想的结论，为结构面剪切蠕变本构方程的建立提出了较为合理简便的方法。

The main content of preparation before scoring is selection of characteristics, which mainly uses Logistic regression, contingency table analysis and artificial neural network. Personal credit scoring and evaluation mainly uses general discriminant analysis, refined decision tree model, improved genetic algorithm, probability neural network and behavioral scoring model. The effect test of personal credit scoring includes fitting effect test and fitness test. The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选，其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络；本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型；个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面，前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线，后者主要包括似然比检验、Hosmer-Lemeshow检验等。

The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选，其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络；本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型；个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面，前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线，后者主要包括似然比检验、Hosmer-Lemeshow检验等。

Namely, the first, the beginning, end and length of growing season of every type of vegetation is estimated with threshold method and moving average method, and the beginning end and length of growing season of vegetation from 1982 to 1999 is fitted linearly, finally, linear trend of the beginning end and length of growing season of vegetation is analyzed. The second, phenological phase in different years and zones is estimated based on greatest changes of slope method and EOF analysis method, and the result monitored by the two methods is compared, as a result, trend of growing season change from 1982 to 1999 in different latitude zones is better acquired. The third, phenological phase of vegetation in different spatial location from 1982 to 1999 is fitted based on curve. Then, spatial difference rules of growing season of every year and average of multi-year is discussed in article. In the end, lag correlation and linear regress are used to study relation between phenological phase of different types of vegetation, different latitude zones, different spatial places and climate changes.

利用阈值法和滑动平均法逐年估测了每种植被类型的生长季的开始、结束日期及长度；对18年中植被生长季的开始、结束时间和长度进行一次线性拟合，分析了植被生长季的开始、结束日期和长度的线性变化趋势；基于最大变化斜率法和EOF分析法估计了不同年份、不同区域内植被生长季的开始、结束时间及其长度，并对这两种方法的监测结果作了比较，从而得到了较好的不同纬度区域1982～1999年植被生长季的变化趋势；基于曲线拟合了1982～1999年的不同空间位置的植被物候期，然后讨论了每年和多年平均的植被生长季的空间分异规律；最后利用时滞相关分析和线性回归研究了不同类型植被的物候期与气候变化的相互关系，不同纬度带的植被物候期与气候变化的相互关系，植被物候期与气候变化空间相互关系。

When Logistic curve was used to coincide with the state distribution of the change of b...

用 Logistic曲线拟合毛竹笋含水率随干燥时间变化的状态分布，幂函数拟合制品复重率的状态分布，决定系数 r2 分别达 0 。972 5和 0 。961 0以上

The analytical method used in this paper is justified by comparing with country norm form formula results , the result of Franco et al and the result of Yuxiu Wei et al.

综合各因素的影响，应用最小二乘法进行曲线拟合，得到了斜向波和多向波作用于直立堤上的平均越浪量的计算公式、单波最大越浪量的计算公式、单波最大越浪量和平均越浪量的关系式、越波率计算公式以及单波越浪量的统计分布形式，并通过与按照我国规范中斜坡堤越浪量计算公式形式拟合得到的直立堤越浪量公式和俞聿修，魏德彬的试验结果、Franco C，Franco L试验结果的比较来验证本文所采用的分析方法的合理性、试验结果的可靠性，以便于理论研究和工程设计参考应用。

The results show that the fitting curve is very smooth using neural network algorithm with Fourier orthogonal basis function, and its fitting precision is very high.

研究结果表明，用傅立叶正交基函数神经网络算法拟合的曲线十分光滑，拟合精度高。

Lugalbanda was a god and shepherd king of Uruk where he was worshipped for over a thousand years.

Lugalbanda 是神和被崇拜了一千年多 Uruk古埃及喜克索王朝国王。

I am coming just now,' and went on perfuming himself with Hunut, then he came and sat.

我来只是现在，'歼灭战perfuming自己与胡努特，那麼，他来到和SAT 。