基于合体两片袖的内旋造型结构设计

为探究袖身内旋造型的形成机制及影响因素,增强合体两片袖的活动性和机能性,从立裁角度提出分割线借量法、袖中线偏移法与袖中线旋转法3种结构设计方法。借助三维虚拟试衣技术进行单变量试验设计,确定每种方法中各变量的取值范围;通过正交试验设计,完成16款袖子的结构设计、虚拟试衣及实样制作;最后建立评价体系,进行主客观评价与分析。结果表明:各变量对内旋夹角影响程度的大小依次为袖中线旋转量、分割线借量、袖中线偏移量;结合动静态指标、主客观评价数据,得到的美观与舒适俱佳的袖子变量组合为分割线借量 0.5 cm, 袖中线偏移量2 cm,袖中线旋转量1 cm。     

Evolution of anthocyanins during maturation of tempranillo grape variety (Vitis vinifera) using polynomial regression models

In general, the anthocyanin content of grapes increases during ripening but presents a concentration minimum a few days before physiological maturity. This minimum is sharper for the acyl derivatives. Significant behavioural differences were found between monoglucosides and their acyl derivatives. A polynomial model was used to describe the evolution of anthocyanins in the maturation of Tempranillo grapes (Vitis vinifera L).     

基于多元线性回归对Tilsit型干酪成熟期的研究

根据Tilsit干酪加工方法制作生干酪样品,在90 d成熟内测定其总氮、水溶性氮(WSN)、三氯乙酸水溶性氮(TCA-SN)、磷钨酸水溶性氮(PTA-SN)等含量,研究成熟过程中蛋白质水解程度。上述指标,除磷钨酸水溶性氮,其余均与干酪成熟期呈现一定的线性相关性(p<0.05),该多元线性回归模型可以用于鉴定和预测Tilsit型干酪的成熟期。     

基于神经网络的浓度检测模型研究

针对液浆类食品浓度检测系统中,浓度与折射率、温度之间的非线性关系问题,将人工神经网络技术应用于浓度测量的建模中,以实验数据为基础,建立了检测系统的数学模型。通过仿真研究,与传统的回归模型进行误差对比,得出了应采用BP神经网络技术建立智能化液浆浓度测量模型,提高测量精度,克服温度变化非线性影响的结论。     

基于正交试验的冲压件回弹预测研究

本文以类U型件作为研究对象，以有限元数值模拟法和正交试验法为工具进行冲压回弹模拟仿真，在正交试验中综合考虑材料参数、工艺参数和模具型面对回弹的影响。以正交试验的数据进行回归分析，构建所选工艺参数和回弹量的试验数学模型。为基于工艺优化的回弹量预测提供了一种有效方法。     

Genetic parameters for a multiple-trait multiple-lactation random regression test-day model in Italian Holsteins

The objectives of this study were to estimate variance components for test-day milk, fat, and protein yields and average daily SCS in 3 subsets of Italian Holsteins using a multiple-trait, multiple-lactation random regression test-day animal model and to determine whether a genetic heterogeneous variance adjustment was necessary. Data were test-day yields of milk, fat, and protein and SCS (on a log₂ scale) from the first 3 lactations of Italian Holsteins collected from 1992 to 2002. The 3 subsets of data included 1) a random sample of Holsteins from all herds in Italy, 2) a random sample of Holsteins from herds using a minimum of 75% foreign sires, and 3) a random sample of Holsteins from herds using a maximum of 25% foreign sires. Estimations of variances and covariances for this model were achieved by Bayesian methods using the Gibbs sampler. Estimated 305-d genetic, permanent environmental, and residual variance was higher in herds using a minimum of 75% foreign sires compared with herds using a maximum of 25% foreign sires. Estimated average daily heritability of milk, fat, and protein yields did not differ among subsets. Heritability of SCS in the first lactation differed slightly among subsets and was estimated to be the highest in herds with a maximum of 25% foreign sire use (0.19 ± 0.01). Genetic correlations across lactations for milk, fat, and protein yields were similar among subsets. Genetic correlations across lactations for SCS were 0.03 to 0.08 higher in herds using a minimum of 75% or a maximum of 25% foreign sires, compared with herds randomly sampled from the entire population. Results indicate that adjustment for heterogeneous variance at the genetic level based on the percentage of foreign sire use should not be necessary with a multiple-trait random regression test-day animal model in Italy.     

土体降排水过程中渗透系数非线性特征分析

土体中大量降排水的过程实际上是土体中有效应力增长的过程。通过对抽水试验中土体渗透系数的回归分析,建立了渗透系数与有效应力增量之间的非线性耦合响应关系,说明降排水过程中土体渗透系数是呈非线性变化的。     

基于GC/HPLC检测和苦味评定解析黄酒苦味

为分析黄酒苦味与其成分的关系,使用气相色谱（GC）和高效液相色谱仪（HPLC）测定16种半干型黄酒样品中的挥发性成分、氨基酸及理化指标,采用Pearson相关性分析计算各成分与苦味值的相关系数,并以测定成分为X变量、以苦味值为Y变量,建立偏最小二乘法回归（PLSR）分析模型,验证苦味相关成分和模型预测的准确性。结果表明,黄酒中的苦味物质以挥发性成分为主,集中在异戊醇（R=0.808）、异丁醇（R=0.642）、正丙醇（R=0.623）和乳酸乙酯（R=0.771）,氨基酸与苦味相关性不高（R=-0.536～0.464）,酒精与苦味相关性最高（R=0.850）,总酸对苦味有促进作用（R=0.649）,总糖对苦味有明显抑制作用（R=-0.735）。PLSR分析模型证实了Pearson相关性分析的可靠性,且能很好的预测黄酒苦味值,预测准确性达到90%,这为确定黄酒苦味提供了科学分析的客观方法。     

磷化液总酸度的研究

引进了净总酸度的概念，在大量实验数据的基础上，利用回归统计方法，探讨了锌系磷化液中净总酸度与ＣＺｎ２＋和ＣＨ２ＰＯ－４的定量函数关系，举例说明在实际生产中的应用。     

棉织物悬垂性能影响因素的定量分析

通过测试棉织物的结构参数、抗弯性能及悬垂性能，应用一元线性回归模型分析了棉织物悬垂性能与抗弯性能的关系，并分别用多元回归模型和BP神经网络分析了棉织物和结构参数与其悬垂系数的定量关系。