模具CAD系统中设计准则的程序化和公式化

模具的设计准则大多是以离散数据给出的，本文给出在模具ＣＡＤ系统中，使这些离散数据程序化和公式化的几种方法——用数组和数据文件处理法、函数插值法、最小二乘法的多项式拟合法和正交多项式拟合法，并给出了具体的实现过程。这些方法同样适用于其它ＣＡＤ系统     

自然数方幂和的包含Bernoulli数的精确表示式

证明自然数方幂和可以用多项式表示,并用两种方法给出其系数的包含Bernoulli 数的几种精确表示式。     

后女性主义文学批评及其启示

后女性主义文学批评有两个主要特点:一、弱化对男性中心主义的批判,强调妇女在既定性别秩序内的享受;二、在文学批评方面缺乏深刻而缜密的理论建树,但对某些偏激的女性主义批评有警示意义.在世界范围内,女性主义文学批评的声音仍此起彼伏,当代文学理论的多元化及包容性特征,应是其重要的理论资源;为开拓新的发展之路,应更重视兼收并蓄的"性别诗学"的建构.     

基于二项式定理应用的探究

二项式定理是初等数学中的一个重要定理，其形成过程是组合知识的应用，同时也是进一步学习概率统计的准备知识，在高等数学中更是许多重要公式的共同基础。从一个新的角度审视二项式定理，给出数环中一类数的n次幂计算的递推公式。同时利用二项式定理的推广形式——多项式定理，得到初等数论中费尔马小定理的一个新证明。     

一元多项式除法及其相关问题的一种新解法

文章提出了一种求解两个一元多项式除法的系数变换法,并推广到求取一元多项式的最大公因式及判别两个多项式是否互素等问题上,给出了该方法的应用实例。     

积分回归在气候要素分析中的应用

运用积分回归分析法研究了某市降水与年逐月气温的关系。建立了积分回归模型，求出了原自变量的回归参数，从而反映出降水与年逐月气温的相关性质和相关程度，有一定实用价值。     

一类非单调线性互补问题的预估校正算法

对于一类非单调线性互补问题给出了一种新的内点算法－预估校正算法，并讨论了其多项式的收敛性。     

Adomian 多项式的具体隐式微分式

本文对含有非线性项为：(1)Nu=f(u)，(2)Nu=f0(u)f1(u^(1))，(3)Nu=f0(u)f1(u^(1))f2(u^(2))的非线性微分方程分别求出多级的Adomian多项式的具体隐式微分式。     

Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals

As failures of rolling bearings lead to major failures in rotating machines, recent vibration-based rolling bearing fault diagnosis techniques are focused on obtaining useful fault features from the huge collection of raw data. However, too many features reduce the classification accuracy and increase the computation time. This paper proposes an effective feature selection technique based on intrinsic dimension estimation of compressively sampled vibration signals. First, compressive sampling (CS) is used to get compressed measurements from the collected raw vibration signals. Then, a global dimension estimator, the geodesic minimal spanning tree (GMST), is employed to compute the minimal number of features needed to represent efficiently the compressively sampled signals. Finally, a feature selection process, combining the stochastic proximity embedding (SPE) and the neighbourhood component analysis (NCA), is used to select fewer features for bearing fault diagnosis. With regression analysis-based predictive modelling technique and the multinomial logistic regression (MLR) classifier, the selected features are assessed in two case studies of rolling bearings vibration signals under different working loads. The experimental results demonstrate that the proposed method can successfully select fewer features, with which the MLR-based trained model achieves high classification accuracy and significantly reduced computation times compared to published research.     

Modelling match outcomes and decision support for setting a final innings target in test cricket

^** E-mail: p.a.scarf{at}salford.ac.uk This paper considers the problem of timing the declaration ofthe third innings in test cricket. Data on the outcomes of recenttest matches are analysed in order to develop simple decisionsupport tools. The first of these tools presents match outcomeprobabilities given the position of the match at a potentialdeclaration point. These probabilities are determined usinga multinomial logistic regression model that is fitted to thetest match data. This idea is then extended to consider progresstowards a declaration—match outcome probabilities areconsidered as a function of target aimed for and run-rate. Thedecision tools have been implemented on a spreadsheet and examplecalculations are presented. The modelling described has thepotential for practical use in test matches.