镨钕分离系数与组成关系的数学模型

对生产实际中采集的数据 ,用回归分析的方法 ,建立了 4组分 2出口体系镨钕分离系数与组成关系的数学模型 ,并应用到动态模拟程序中 ,模拟结果与实际采样分析结果非常接近 ,证明了模型的正确性 .     

回归分析法在预测参会人数中的应用

利用回归分析的原理,建立了一个预测参加与会代表人数的数学模型,通过对以往多届会议代表回执和与会实际情况进行分析计算,较好地预测了本届与会代表人数.     

船体高谐调振动固有频率的估算

本文提出三谐调至五谐调主船体垂向和水平方向振动的固有频率估算的几个新公 式．这些公式是以实船激振试验时获得的固有频率为基础，采用线性回归的方法推导 出来的。这些公式特别适用于船舶设计的初始阶段。它不仅可用于普通强度钢材料建 造的船舶．而且也适用于中部区域内的主要构件采用高强度钢材料建造的船舶．     

Regression Analysis for Segment Size and Mean Size of Cocoon Filament

In order to extract deterministic component from trend nonstationary time series, regression analysis by Akaike Information Criterion （AIC） for segment size and mean size of cocoon filament is introduced, and deterministic component is extracted from size series of cocoon filament by analysis result. Experiments of simulating deterministic components on 9 cocoon categories are carried out, and experimental result is analyzed. Through analysis and experiment, it is known that selecting the order and coefficients of regression equation by AIC is beneficial to accurately describe the relation between segment value and mean value. This study is also useful for pretreatment of nonstationary time series.     

优化技术在回归刀具耐用度公式中的应用

本文在常用刀具耐用度公式的基础上,提出了一种刀具耐用度的数学模型。为确定该数学模型的常数、系数和指数,采用了多元线性回归和优化技术,使回归出的耐用度公式的显著性有明显的提高。     

惯性秤定标的几种方法

通过对惯性秤定标方法的讨论 ,引入了 SPSS统计方法 ,对其在惯性秤定标中的应用做了阐述     

局部自相似过程的小波估计

首先, 针对时变自相似参数提出了一种基于最大重叠离散小波变换的估计方法; 对此进行了蒙特卡洛模拟研究, 发现提高了估计的精度; 最后, 将研究结果应用于海洋垂直切变序列.     

广义样条带权回归及其应用

在样条回归的基础上，提出了适用于非单调数据的广义样条带权回归方法，经我校区用电量实例计算验证，比广义线性、多项式逐步和传统样条回归方法的效果显著     

Metabonomic analysis of hepatitis B virus-induced liver failure： identification of potential diagnostic biomarkers by fuzzy support vector machine

Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.