奥运会举重量级调整的合理性分析

通过建立数学模型来分析奥运会举重项目量级调整的合理性,为其将来的量级调整提供合理的参考依据.     

脉冲型地震作用下斜拉桥纵向响应的简化计算

为研究近断层脉冲作用对斜拉桥地震响应的影响,在研究近断层地震动特性的基础上,利用最小二乘法进行脉冲模型数值拟合,通过等效模态法将复杂斜拉桥在纵桥向简化为单质点体系,建立、求解近断层脉冲作用下斜拉桥纵桥向的运动微分方程,得到斜拉桥塔顶位移、塔底弯矩与速度脉冲周期及幅值的解析关系,由此得出结构地震响应随脉冲参数变化的规律,并分别通过独塔和双塔斜拉桥的有限元分析对该方法的正确性进行验证,结果表明该方法简单可行,误差在工程可接受范围内.     

带约束拉杆方形钢管混凝土短柱偏压工作机理

为研究带约束拉杆方形钢管混凝土短柱偏压的工作机理,采用考虑材料泊松比变化、钢管和核心混凝土界面作用及钢管残余应力的有限元模型,利用有限元软件ABAQUS对其偏压受力全过程进行分析.从横向变形、荷载-竖向位移曲线、核心混凝土纵向应力分布、钢管与核心混凝土的相互作用、约束拉杆的影响等方面讨论了带约束拉杆方形钢管混凝土短柱偏压工作机理.结果表明:有限元计算结果与试验结果吻合较好;设置约束拉杆可减小构件的横向挠曲变形,改变截面的变形模态,增强钢管对核心混凝土的约束效应,提高短柱的偏压承载力和延性;约束拉杆间距越小,短柱的延性越好,偏压承载力越大;泊松比对短柱偏压承载力具有一定影响,残余应力则对其几乎无影响.     

进口干红葡萄酒的感官质量与价位的关联分析

感官量化分析进口干红葡萄酒的感官特征,旨在筛选影响中国市场上不同价位进口干红葡萄酒产品的感官特征.实验采集上海葡萄酒市场上价格为100～ 600元且销量较好的9款进口干红葡萄酒样品,进行感官量化品评.品评小组由30名经过葡萄酒风味标准物质训练的学生组成,感官分析过程中要求其对所感知的感官特征用5点标度法进行量化,某一特征的最终量化值是词汇使用频率和强度率的几何平均数.量化数据的主成分分析(PCA)筛选出23种对葡萄酒感官质量贡献显著的感官特征,偏最小二乘回归(PLSR)用12种感官特征拟合出供试酒样的整体质量.结果表明,在100 ～600元价位的进口干红葡萄酒在感官特征上表现出差异,其整体质量与价格正相关,可用部分感官特征回归拟合葡萄酒的整体质量.     

基于3种建模法的食源性 ACE抑制二肽 QSAR 研究

以自组建的食源性血管紧张素转化酶（angiotensin I‐converting enzyme ,ACE）抑制二肽为研究样本,采用氨基酸描述子VHSE（principal component score vector of hydrophilicity ,steric ,and electronic properties）对ACE抑制二肽进行表征后,比较偏最小二乘（partial least square regression ,PLS）、支持向量机（support vector machine ,SVM）及主成分分析（principal component analysis ,PCA）‐SVM相结合的3种建模方法对ACE抑制二肽的QSAR（quantitative structure‐activity relationship）建模。结果显示,对于食源性ACE抑制二肽,3个模型的拟合能力无明显差异,SVM模型的预测能力略强;对其进行权重投影分析发现,C末端氨基酸较N末端氨基酸对其活性的影响更为明显。     

古巴比伦人求算术平方根的探究

分析了古巴比伦人求算术平方根的算法，证明了其正确性。然后将其算法推广到求n次算术根，并证明了其正确性。     

The Predictive Performance Evaluation of Biased Regression Predictors With Correlated Errors

When the interdependence of disturbances is present in a regression model, the pattern of sample residuals contains information which is useful in the prediction of post‐sample drawings and when multicollinearity among regressors is also present, it is useful to use biased regression estimators. This information is exploited in the biased predictors derived here. Also, the predictive performance of various biased predictors with correlated errors is discussed and all pair‐wise comparisons are made among these predictors. The theoretical results are illustrated by a numerical example. Copyright © 2015 John Wiley & Sons, Ltd.     

三角代数上Lie积为平方零元的非线性Jordan高阶可导映射

设U是一个 2-无挠的三角代数,D ={d_n}_n∈N是U上一个Lie积为平方零元的非线性Jordan高阶可导映射。证明了三角代数U上的每一个Lie积为平方零元的非线性Jordan高阶可导映射都是高阶导子。作为结论的应用,得到套代数或 2-无挠的上三角分块矩阵代数上的每一个Lie积为平方零元的非线性Jordan高阶可导映射都是高阶导子。     

An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting

For forecasting nonstationary and nonlinear energy prices time series, a novel adaptive multiscale ensemble learning paradigm incorporating ensemble empirical mode decomposition (EEMD), particle swarm optimization (PSO) and least square support vector machines (LSSVM) with kernel function prototype is developed. Firstly, the extrema symmetry expansion EEMD, which can effectively restrain the mode mixing and end effects, is used to decompose the energy price into simple modes. Secondly, by using the fine‐to‐coarse reconstruction algorithm, the high‐frequency, low‐frequency and trend components are identified. Furthermore, autoregressive integrated moving average is applicable to predicting the high‐frequency components. LSSVM is suitable for forecasting the low‐frequency and trend components. At the same time, a universal kernel function prototype is introduced for making up the drawbacks of single kernel function, which can adaptively select the optimal kernel function type and model parameters according to the specific data using the PSO algorithm. Finally, the prediction results of all the components are aggregated into the forecasting values of energy price time series. The empirical results show that, compared with the popular prediction methods, the proposed method can significantly improve the prediction accuracy of energy prices, with high accuracy both in the level and directional predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

平屋顶水平封闭方腔空气层厚度数值分析

为分析平屋顶水平封闭方腔作为保温系统时其内部空气层的相对最佳厚度,通过建立二维数值模型,选择"Presto!"压力插值格式及SIMPLE(Semi-Implicit Method for Pressure-Linked Equations)解耦算法,计算了在不同边界温差和边界材料导热系数下平屋顶水平封闭方腔内辐射传热量和对流换热量及其随空气层厚度的变化.在一定条件下,通过对计算结果进行回归分析,得到平屋顶水平封闭方腔在不同温差和不同边界材料导热系数下的相对最佳空气层厚度值.