Uniformly subsampled ensemble (USE) for churn management: Theory and implementation

The present paper explores the possible application of a new ensemble model. The model, which is based on multiple SVM classifiers, is employed to address churner identification problems in the mobile telecommunication industry, a sector in which the role of customer retention program becomes increasingly important due to its very competitive business environment. In particular, the current study introduces a uniformly subsampled ensemble (USE) model of SVM classifiers, not only to reduce the computational complexity of large-scale data, but also to boost the reliability and accuracy of calibrated models on data sets with highly skewed class distributions. According to our experiments, the performance of the USE SVM model is superior compared to all single and ensemble models. It is more scalable than well-known ensemble models as well.     

Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel

A novel approach to characterise the model prediction errors using a Gaussian mixture model is proposed. The motivation for this work lies behind many data models that are developed through prediction error minimisation with the assumption of a normal noise distribution. When the noise is non-normal, which may often be the case in complicated data modelling scenarios, the model prediction errors may contain rich information, which can be further exploited for model refinement and improvement. The key contents presented in this paper include: choosing the relevant variables to form the error data, optimising the number of Gaussian components required for the error data modelling, and fitting the Gaussian mixture parameters using an expectation-maximisation algorithm. Application of the proposed method for further model improvement, within the framework of hybrid deterministic/stochastic modelling, is also discussed. Preliminary results on the real industrial Charpy impact energy data for heat-treated steels show its effectiveness for model error characterisation, and the potential for model performance improvement in terms of prediction accuracy as well as providing accurate prediction confidence intervals.     

点到平面距离公式的一种新证法

该文根据球面上一点切平面的方程和平移变换,对空间任一点P(x0,y0,z0),分P点为坐标原点和P点不是坐标原点两种情形,给出了到平面π:Ax By Cz D=0的距离公式d=|Ax0 By0 Cz0 D|/√A2 B2 C2 的一种新证法.     

一类非光滑非凸分式半无限规划的最优性

在一致Fb-凸函数，一致Fb-伪凸和一致Fb-拟凸等广义凸性函数的基础上，研究了一类分式半无限规划问题，得到了涉及这些广义凸性函数的一类非光滑分式半无限规划的一些最优条件。     

论梁启超政治功能小说观

梁启超发起“小说界革命”，将小说直接承载政治使命，并提出“小说为文学之最上乘”的口号，客观上消融了一直以来存在于人们脑海的“小说为小道”的观念痼疾。小说也因此成为当时最受欢迎的文学样式。“小说界革命”对小说地位的提升与当时特定的社会环境及梁启超本人的社会地位是密不可分的。     

电子设备的建模研究

本文首先介绍了开关电源的基本工作原理和电路构成,在此基础上,通过试验研究,建立了计算机和电视机等电子设备的静态负荷模型。所得结论,为电力系统稳定分析计算提供了依据。     

Modeling and simulation for a drop-impact analysis of multi-layered printed circuit boards

Multi-layered printed circuit boards (PCBs) contain a multi-layered structure that is suitable for high-speed and high-frequency applications. Hence, they are used extensively in electronic packaging assemblies for high-density applications. However, numerous composite parts and complex material properties of multi-layer PCBs complicate the reliability simulation of PCB model. This paper deals with a finite element analysis intended to describe numerically the behavior of multi-layered multi-materials PCB model (combination of metallic and composite plies) in the drop-impact performance. Through the comparison of physical drop test results, the fully multi-layered model illustrates higher accuracy if compared with that of the traditional simplified isotropic model and orthotropic model. The effects of material properties for the multi-layer PCB under drop-impact shock have also been investigated.     

基于PLC的配料计量装置的设计

冶金生产中，各种原料之间的配比精度对生产过程的稳定和产品的质量有重要的影响。目前使用的配料系统计量精度低，瞬时物料流量波动大，系统复杂。本文介绍的计量装置的计量过程是对料斗内物料的减少量进行计量，以减重秤为主，配料精度达到0．5％级。     

攀钢1450mm热连轧机层流冷却控制系统的开发及应用

阐述了攀钢1 450 mm热连轧机层流冷却控制新系统的开发与应用。该系统采用α机过程控制系统,通过预设定、在线前馈和自适应三大功能,对层流冷却模式、冷却速率和最终卷取温度进行控制,卷取温度控制精度较原系统有较大提高,±20℃的命中率由原来的88.6%提高到现在的96.4%。     

济钢板坯连铸机智能扇形段(ASTC)电气控制系统的应用

济南钢铁集团总公司第三炼钢厂1#连铸机由奥钢联公司设计制造,其扇形段共14段,其中水平段(7-14段)采用智能扇形段(ASTC)。智能扇形段电气控制系统具有严密的控制逻辑及可靠的控制精度,通过对水平段辊缝的实时动态控制,可有效提高扇形段辊缝的控制精度,提高了铸坯质量。