黄登水电站骨料运输洞开挖爆破振动对邻近建筑物的影响分析

对黄登水电站骨料运输洞爆破开挖对大格拉村民房的振动影响进行了监测与分析,根据爆破振动监测数据,利用HHT法分析了最大段药量对爆破振动信号频带能量分布的影响,并对质点振动速度进行了回归分析,得出了该地区爆破振动传播衰减规律,提出本工程施工允许的最大段药量估算公式,为工程的顺利开挖提供了参考依据。     

基于遗传算法的分式线性神经网络预测原油气油比

提出了基于遗传算法的分式线性神经网络优化方法。该方法首先用遗传算法优化分式线性网络的权值,然后在遗传进化结果的基础上,利用分式线性网络反向传播(BP)算法训练分式线性网络,获得网络的最优权值。作为应用,预测原油溶解气油比的基于遗传算法的分式线性神经网络模型被给出。对比实验表明,基于遗传算法的分式线性神经网络优化方法是一种新的建模方法。     

基于支持向量回归的供应链管理绩效评价研究

供应链管理的绩效评价,对于供应链的运作和管理是至关重要的。本文将基于支持向量回归的数据挖掘方法,用于供应链管理的绩效评价研究中。并结合实例,讨论了支持向量回归在供应链管理绩效评价中的应用及其特点。     

上市公司资本结构影响因素的实证分析——以我国房地产业为例

资本结构的影响因素具有行业特殊性,选取房地产行业2008-2010年63家上市公司作为实证样本,构建多元线性回归模型,检验了资本结构的影响因素.研究表明:房地产企业的资本结构受公司规模、盈利能力、成长性、抵押价值、有效税率、流通股比重影响显著.其中,公司规模、抵押价值、有效税率与资本结构显著正相关,盈利能力、成长性、流通股比重与资本结构显著负相关.房地产上市公司应努力扩大企业规模,提升成长能力,特别是需要优化股权结构,构建多元化的融资体系来有效化解财务风险.     

多变时滞中立型系统稳定性研究

本文研究了一类多时变时滞中立型系统的渐近稳定性问题。基于Lyapunov第二方法,推导出新的时滞依赖稳定性判据。所给得判据可以保证多变时滞中立型系统渐进稳定,结论以线性矩阵不等式(LMI)形式表示,便于应用。仿真结果表明本文稳定性判定准则具有较小的保守性。     

准朔黄河特大桥钢管拱预拼装施工技术

近年来随着国内基建领域的蓬勃发展,钢管拱桥以其造形美观、受力科学、可塑性强等特点在桥梁建设中得到广泛应用,成为一道道亮丽的风景线;然而如何确保成桥后拱肋的几何线型,是设计意图、结构受力能否顺利实现的关键点,同时也是各钢结构企业面临的施工难题;本文以准朔铁路黄河特大桥为例,着重介绍大跨度钢管拱桥预拼装过程中的线形控制措施、质量检查标准等,以期为同类工程施工提供借鉴。     

半参数变系数空间滞后模型的截面极大似然估计

在线性参数空间滞后模型中,解释变量的系数一般假设为固定常数,本文首先放松了这种假设,将解释变量的系数设定为某一变量的未知函数,提出一类全新的半参数变系数空间滞后模型;其次导出了该模型的截面极大似然估计,并证明了该估计的一致性;最后用蒙特卡洛数值模拟方法考察了该估计在小样本条件下的性质,数值模拟结果显示我们提出的估计方法在小样本条件下依然有优良的表现。     

Environmental Policies for Evaluating Suppliers' Performance Based on GRI Indicators

Many companies use a performance measurement system (PMS) to evaluate their suppliers' environmental performance (SEP). To do this a company can establish its own set of measures or adopt indicators borrowed from specific standards and guidelines such as the Global Reporting Initiative (GRI). However, the results of a literature review indicate that the weights of the different environmental performance indicators within an overall SEP rating are unclear. The aim of this paper is to understand what the environmental policies adopted by European manufacturing companies to evaluate their suppliers really are. In order to reach this objective, a quantitative model based on multiple linear regression has been developed. The model correlates different environmental aspects taken from the GRI set of indicators with the overall SEP rating. Interestingly, results show that performances on aspects such as transport and ISO 14001 certification do not count towards the final ranking, whereas compliance with laws and regulations is the cornerstone of the evaluation of the supplier. Other performance indicators can in some ways be linked to compliance with laws and regulations. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Karl Pearson and the Establishment of Mathematical Statistics

At the end of the nineteenth century, the content and practice of statistics underwent a series of transitions that led to its emergence as a highly specialised mathematical discipline. These intellectual and later institutional changes were, in part, brought about by a mathematical-statistical translation of Charles Darwin's redefinition of the biological species as something that could be viewed in terms of populations. Karl Pearson and W.F.R. Weldon's mathematical reconceptualisation of Darwinian biological variation and "statistical" population of species in the 1890s provided the framework within which a major paradigmatic shift occurred in statistical techniques and theory. Weldon's work on the shore crab in Naples and Plymouth from 1892 to 1895 not only brought them into the forefront of ideas of speciation and provided the impetus to Pearson's earliest statistical innovations, but it also led to Pearson shifting his professional interests from having had an established career as a mathematical physicist to developing one as a biometrician. The innovative statistical work Pearson undertook with Weldon in 1892 and later with Francis Galton in 1894 enabled him to lay the foundations of modern mathematical statistics. While Pearson's diverse publications, his establishment of four laboratories and the creation of new academic departments underscore the plurality of his work, the main focus of his life-long career was in the establishment and promulgation of his statistical methodology.     

Person–environment fit or person plus environment: A meta-analysis of studies using polynomial regression analysis

The purpose of this study was to examine if the non-linear terms in polynomial regression analysis (PRA) explain substantial amounts of variance in assumed outcomes over and above the linear terms. This meta-analysis reviewed a total of 30 studies from 25 articles on person–environment (P-E) fit in which PRA was used. We found that none of the 30 studies did rigorous cross-validation for PRA. In addition, the overall population R² change attributable to the non-linear terms (PE, P² and E²) in PRA was only .008. However, the P-E interaction term may be more important in some situations than in others, based on the data gathered here. Specifically, the non-linear terms in PRA added to the variance explained by the linear terms (P and E) when studies examined assumed outcome variables like contextual performance or job attitudes as opposed to task performance. In summary, PRA could potentially be effective in investigating P-E fit and other human resource management-related phenomena when it is used in appropriate scenarios.