结合新型模糊支持向量机和证据理论的多传感器水质数据融合

在多传感器水质数据融合领域,证据理论是有效的数据融合方法之一,但基本概率分配一般不易确定,从而使数据融合能力难以有效发挥。支持向量机是统计学习理论之上的高级分类算法,具有普适性和全局优化等特点,但输出的基本概率分配有待进一步提高。提出了一种基于证据理论和新型模糊支持向量机相结合的数据融合方法,通过建立基于分类超平面距离的模糊隶属度,训练模糊支持向量机提高传统支持向量机的基本概率分配,并结合证据理论进行海河水质数据融合。通过证据理论分别结合支持向量机和模糊综合评价法与上述方法进行对比实验,经精度、平均绝对百分误差、均方根误差等指标验证,精度提高10.5%,表明所提方法是一种可靠的多传感器的水质融合方法,较其他方法具有更高的融合精度。     

数字线化图（DLG）要素分类探讨

探讨数字线划图的特点以及编辑要点。     

Mix of Fiscal and Monetary Policy Rules and Inflation Dynamics in China

The present paper examines the role of the mix of fiscal and monetary policy rules in determining inflation dynamics using fiscal and monetary policy reaction functions and Markov‐switching vector autoregression methods based on quarterly data in the period 1992–2007. Our results show that fiscal and monetary policies in China can be adequately described using some simple rules, and that significant regime shifts took place around 1998. Fiscal policy tended to be active and countercyclical in the pre‐1998 period, then switched to be passive and more countercyclical, whereas monetary policy was characterized as passive and procyclical in the pre‐1998 period, and switched to be active and countercyclical afterwards. The mix of fiscal and monetary policy rules can explain inflation dynamics better than the monetary policy rule alone. Therefore, price stability requires not only appropriate monetary policy but also appropriate fiscal policy.     

Autonomy and Effectiveness of Chinese Monetary Policy under the De Facto Fixed Exchange Rate System

This paper uses monthly data to examine the autonomy and effectiveness of monetary policy in China under the de facto fixed exchange rate arrangement in place from 1998 to 2005. The results obtained from Granger causality tests in a vector autoregression framework indicate that： （i） China actually conducted independent monetary policy during the fixed exchange rate period; and （ii） market-oriented policy measures are impotent in influencing real output and prices. The framework of the investigation into the autonomy of monetary policy adapts to the Chinese economic condition that primary loan and deposit rates are set by the central bank. Based on the empirical results, the present paper provides alternative strategies to improve the effectiveness of monetary policy in China, including developing the financial system and solidifying microeconomic fundamentals instead of forcing the adaptation of a more flexible exchange rate regime.     

试论国有企业创新

针对当前企业标捉化工作缺乏整体性 ,从而难以发挥其基础作用和企业整体功能这一现象 ,本文结合企业实例 ,运用层次分析法对企业管理标准体系进行优化 ,使企业的标准化工作能在分清轻重缓急的条件下有序地开展 ,以强化企业基础工作、为现代企业管理理论和方法的应用提供必要的     

铣刀轴线绕二轴转成定倾角的解析与图解

本文用矩阵法和图解法导出一对公式.用于生产实践,可节省工时与提高加工精度。     

变频器固定频率控制在超长链条输送线中的应用

XX公司为了降低从车间1到车间2输送物料的运输成本,在车间1和车间2之间建设了一条总长650米的链条输送线,用于物料的连续输送。由于原控制系统存在诸多缺陷,并缺乏及时的售后服务,特组织公司内外技术力量对该输送系统进行了技术研究,制定了"变频器多段固定频率控制"方案。本文主要介绍了该输送系统的功能、系统改造方案的具体设计及改造后系统的运行调试,实践证明该方案大大降低了故障率,提高了系统的稳定性。     

脉冲矢量控制在交流传动电力机车中的应用研究

为了提高交流传动机车的调速性能,在机车的牵引变流器中采用脉冲矢量控制。文章以HXD3型电力机车为例,介绍了矢量控制技术的基本原理,分析了使用方波脉冲矢量控制技术的机车牵引变流器的系统结构、及输出电压、脉冲方式和配置。研究表明脉冲矢量控制技术使机车能精确快速的控制牵引电机的转矩和转速,具有良好的调速性能,能最大程度发挥机车牵引力。     

The interest rate pass-through in the Euro area during the global financial crisis

This paper uses panel vector autoregressive (VAR) models for euro area member countries to explore the widening of retail bank interest rate spreads that emerged in the course of the global financial crisis. We find that the interest rate pass-through was generally complete on impact before the outbreak of the financial crisis, but became significantly distorted in the period thereafter, which hampered the effectiveness of monetary policy. Empirical evidence suggests that the decrease in the interest rate pass-through can be related to a change in the structural parameters characterizing the economies and a substantial increase in the average size of structural shocks. DSGE model simulations show that an increase in the frictions that banks are subject to can explain the decrease in the retail bank interest rate pass-through.     

基于主成分分析和支持向量机的个人信用评估

本文针对信用评估指标维数较高的问题,运用主成分分析与支持向量机理论建立了一个新的个人信用评估预测模型。为反映该模型在信用评估分类方面的优越性,又分别建立了基于神经网络、K近邻判别分析等多种理论的信用评估模型,并用同一组数据对不同的模型分别进行训练,然后比较其预测分类正确率。实验结果表明,基于主成分分析与支持向量机理论的个人信用评估模型具有较优的预测分类正确率。