人工神经网络技术在物流需求量预测中的应用

运用人工神经网络模拟人脑的思维过程,建立了多个变量之间的非线性模型,从而为准确预测物流需求量提供了科学的依据。     

网络环境下图书馆信息咨询服务的新模式

图书馆的信息咨询服务在网络信息的湍流中感到了前所未有的压力，这对图书馆工作既是挑战，又是机遇。本文讨论了网络环境下图书馆的发展变化，指出图书馆无论在传统条件下还是在网络环境下，信息咨询服务都是图书馆工作的主题，图书馆只有在信息咨询服务方面不     

论中英文中的网络词语

计算机技术的开发与互联网技术的广泛应用,对人类社会和语言都产生了深刻的影响。20世纪90年代以来,虚拟环境中的言语行为研究,已经成为心理学和语言学研究中的一个新的学术亮点,受到学术界普遍的关注。本文主要针对目前在互联网上出现的中英文网络词语进行了研究和探讨。     

网络时代高校德育教育的对策

在网络时代，人们的活动范围开始从实际领域向虚拟空间扩展，原本在地域文化基础上形成簟思想观念、价值取向等更多的受到了外来文花的冲击，人类整个思想文化领域正经历着深刻的变化。高校德育工作者务必抓住时机，积极寻找对策，充分发挥网络的优势，扬长避短，开辟德育教育的新天地。     

网络教学平台的学生成绩分析管理模块实现方法初探

该文从笔者参与开发的网络教学平台的总体功能出发,介绍了利用JSP/Servlet技术,开发基于Web的网络教学平台的成绩分析管理模块的数据处理方法和实现框架,对网络教学的测量与评价方法作初步的探讨。     

论旅游产业集群的系统架构

在旅游产业集群研究过程中，首先需要解决的问题是搭建旅游产业集群的系统架构。一般来说，旅游产业集群包括3个层次：宏观旅游产业集群、中观旅游产业集群和微观旅游产业集群。无论哪个层面的旅游产业集群都以旅游资源为经营核心，以旅游企业为经营依托。旅游产业集群有4种网络结构：区域关系网络、产业关系网络、市场关系网络和社会关系网络。此外，旅游产业集群还包括协作型和竞争型2种市场结构。正是层次结构、网络结构和市场结构，才形成了旅游产业集群的系统架构。     

Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

Economic progress and skill obsolescence with network effects

Summary. We construct an OLG model with network effects to examine skill obsolescence when individuals can choose technological vintages. In the absence of transfer payments, some regions of the parameter space have unique stationary equilibria, others have unique cyclical equilibria, and others have multiple stationary equilibria. All equilibria are Pareto efficient. However, rat race equilibria can exist in which all agents currently alive prefer a slower rate of progress than occurs in equilibrium. When contemporaneous transfers are allowed, equilibria are unique everywhere, but a cycle still exists, and a rat race can still arise in equilibrium. Allowing intertemporal transfers (debt) ensures that all equilibria are stationary. In the relevant parameter range, the introduction of debt can eliminate cycles and increase the long-run growth rate. No rat race equilibria exist when debt is allowed.Received: 3 January 2002, Revised: 3 June 2004, JEL Classification Numbers: 041, J24, O33. Correspondence to: Ian P. KingEarly versions of this paper were presented at the West Coast Macro Workshop, the Mid-West Macro Meetings, the Canadian Macroeconomics Study Group Meetings, and the Society for Economic Dynamics Meetings. We would like to thank V. V. Chari, Merwan Engineer, Don Ferguson, John Hillas, John Knowles, Dan Peled, Dan Usher, Linda Welling and Julian Wright for helpful comments. We are especially grateful to an anonymous referee for some very useful and substantive comments.     

上海A股市场股价波动相互影响能力实证研究

股票市场中股票价格的波动是相互影响的,但不同的股票其价格波动时对其他股票价格行为的影响能力是不同的。本文通过对我国上海A股市场的实证分析表明,有少数股票其价格波动时对其他股票价格行为有很强的影响能力,而大多数股票的这种影响能力很小。此外,单个股票价格波动时引起其他股票价格涨、跌的能力一般都有显著差异。