利用蚁群算法优化前向神经网络

蚁群算法(antcolonyalgorithm,简称ACA)是一种最新提出的新型的寻优策略,本文尝试将蚁群算法用于三层前向神经网络的训练过程,建立了相应的优化模型,进行了实际的编程计算,并与加动量项的BP算法、演化算法以及模拟退火算法进行比较,结果表明该方法具有更好的全局收敛性,以及对初值的不敏感性等特点。     

浅析蚁群算法在优化前向神经网络中的作用

蚁群算法（ant colony algorithm，简称ACA）是一种最新提出的新型的寻优策略，文章尝试将蚁群算法用于三层前向神经网络的训练过程，建立了相应的优化模型，进行了实际的编程计算，并与加动量项的BP算法、演化算法以及模拟退火算法进行比较，结果表明该方法具有更好的全局收敛性，以及对初值的不敏感性等特点。     

基于ACA特色的高等本科院校国际化会计人才培养问题研究——以哈尔滨金融学院为例

当前高校在培养国际化会计人才的探索中,ACA逐渐进入人们的视野,越来越多的高校开始开展ACA培训项目。但是,在ACA特色的国际化会计人才培养模式的探索中,也遇到了各种各样的问题和困难,具体体现在认知度不高,招生困难;授课师资受限,成本费用高,对学习难度估计不足等方面。高校在开展ACA课程过程中应制定合理的课程设置方案,打造优秀的师资队伍,构建成建制班管理模式,注重ACA学生的正确引导和管理,要积极宣传,扩大ACA学生在社会上的影响,与用人单位建立稳定的联系,优先推荐ACA学生就业。     

数据挖掘中聚类算法研究

随着数据挖掘技术的发展,作为数据挖掘中重要方法之一的聚类分析,先后出现了许多聚类算法。这些聚类算法均有其自身的优缺点。为了方便用户找到适合的聚类算法,本文根据不同的聚类原理对聚类算法进行分类,并概述了各类算法的发展情况。针对聚类的典型要求,归类出了一些有代表性的算法,同时对它们进行了分析和评价。文章最后给出了几种常用聚类算法的性能比较,并对聚类算法的发展进行展望。     

数据传输链路中几种纠错编译码的算法和性能

介绍数据传输中常用的戈莱码的几种不同译码算法,分析各种算法的纠错性能,给出用计算机模拟的结果。还介绍对数据链Ｌｉｎｋｌ中的纠错码和地址码的编译码算法,分析其性能,给出计算机模拟的结果。     

汇通达的共富密码

一场由产业互联网带动的消费升级,正在农村市场引爆。2020年6月,小家电品牌北美家电(ACA)计划开拓下沉,市场。作为深耕农村市场多年的产业互联网平台,汇通达帮助北美家电将品牌及产品体系快速下沉到.上万家乡镇夫妻店,并为其制定了产品营销策略及乡镇会员店场景化联动,去年全年,汇通达跟ACA北美电器合作规模达1.36亿元。借助汇通达,北美电器产品快速突破农村市场。     

RBF神经网络在微波幅度均衡器设计中的应用

针对多谐振腔结构的均衡器其S参数测量数据库,提出了一种工程上实用的径向基函数(RBF)神经网络插值算法,介绍了该算法的主要思想,利用MATLAB软件给出了微波均衡器插值实例,并对其插值特性进行了分析和改进。计算和分析结果表明,该算法能在较高的插值精度条件下对数据进行有效的插值处理。该算法在微波器件的工程设计中具有一定的推广应用价值。     

三维物体碰撞检测包围盒算法分析

随着计算机技术的发展,人们对虚拟现实、分布式交互仿真的需求大大推动了计算机图形学的发展。碰撞检测,特别是软体碰撞检测问题开始成为研究的热点。主要介绍AABB(沿坐标轴的包围盒)和OBB(方向包围盒)算法两种常用包围盒技术,并从效率、难易程度等方面对其进行比较,结合AABB算法和OBB算法,提出一种改进算法,在一个具有大量静态对象的场景中,先利用AABB算法测试静态物体和动态物体的碰撞,然后通过AABB算法过滤后的动态物体则使用OBB算法进行碰撞检测。试验结果表明,该方法在进行精确的碰撞检测时,性能有明显的提高。     

CRM中用Apriori算法评估客户兴趣度

Apriori算法作为一种典型的关联规则算法,将其应用在CRM中,对于促进CRM进一步向智能化发展,提升CRM价值起到非常重要的作用。文章首先介绍Apriori算法的基本原则、方法,然后介绍兴趣关联规则的概念与实现方法,最后对用Apriori算法评估客户兴趣度进行了探讨。     

无线传感器网络节点自身定位算法综述

节点位置信息是无线传感器网络应用的基础。介绍了无线传感器网络节点定位的基本原理，论述了已提出的几种典型定位算法，并对其进行了分析与比较。在综合分析当前定位算法不足的基础上，指出了无线传感器网络节点定位算法的研究方向。     

临近空间飞行器自动防撞技术探讨

在分析机载平台空中防撞系统的发展历程和技术特点的基础上，提出了在临近空间飞行器上采用自动防撞技术。对所提出的自动防撞技术的基本功能、主要技术特点以及自动防撞技术的基本工作原理进行了描述，同时，阐述了临近空间飞行器自动防撞技术研究中几个需要解决的关键技术。     

How Economic Tropes Affect Attitudes Toward Social Welfare Policies

We offer a framework for understanding public responses to social programs designed to alleviate disadvantages experienced by some sectors of the U.S. population. The framework is built on 2 key tropes of generalized exchange theory: mutuality and possessive individualism. Using the Affordable Care Act (ACA) as a public sector context, we show how marketing messages can be manipulated to affect consumer likelihood to participate in and support the public policy. Consistent with cognitive attitude models, we find that beliefs regarding individual and mutual benefits are significant, positive predictors of ACA attitudes. In contrast, when messages are framed with ideological economic tropes—possessive individualism or mutuality—ACA attitudes diverge. Priming possessive individualism negatively affects program attitudes relative to a mutuality prime or a no-prime control condition. We conclude with policy advice for those tasked with effective implementation of public sector programs.     

A simplified method of constrained parameter estimation in conjoint analysis

Part-worths estimated via regression are replaced by constrained part-worths that are as close to the original part-worths as possible subject to any a priori constraints on the ordering of preferences for the levels of each attribute.This approach produces significant improvements in validations on holdout samples when employed with either ACA or full-profile conjoint analysis. The improvements in full-profile validations are similar to those obtained when constraints are imposed with LINMAP. A smaller gain is achieved with ACA.     

Understanding the Impact of Health Reform on the States: Expansion of Coverage through Medicaid and Exchanges

The Affordable Care Act (ACA) expands Medicaid coverage and creates subsidized state health insurance exchanges. The implementation of the ACA will impact the states and consequently the state residents differently. We discuss the factors contributing to the variation in uninsured rates and the Medicaid population, and we predict that these underlying economic, demographic factors and state policies will continue to affect health insurance coverage. Using data from the March 2010 Current Population Survey (CPS), we examine health care coverage at the state level prior to the ACA and forecast the percentage of state residents eligible for expanded Medicaid and the exchanges. Our results suggest the percentage of state population eligible for expanded Medicaid and subsidized exchanges will vary considerably, especially for adults. Further, we show that current state Medicaid eligibility rules, the percentage of employers offering health insurance and poverty rates will continue to shape the variation in projected health insurance coverage across the states. Finally, we discuss the potential impact of the Supreme Court decision that allowed states to opt‐out of Medicaid expansion.     

A Comparison of Conjoint Methods When There Are Many Attributes

This paper compares several methods of performing conjoint analysis when there is a large number of attributes. National parks were described in terms of 17 attributes and 56 levels. Subjects were randomly assigned to one of four groups and each person responded to a calibration questionnaire that allowed the estimation of one of the following conjoint analysis models: full profile, ACA, individual-level hybrid, or full profile on the person's eight stated most important attributes. Validations were performed in terms of individual choices and aggregate choice shares. Reliabilities were assessed on both ratings and choices.Surprisingly even with a large number of attributes, the full profile method consistently validated best. Second was a full profile model estimated on the respondent's stated eight most important attributes. ACA and individual hybrid conjoint analysis performed similarly, but worse than these two methods on most measures. Validation differences were more strongly related to differences in attribute importances than desirabilities for levels within an attribute. It appears that these respondents were not able to accurately report self-explicated importances with a large number of attributes.     

A cross validation test of four models for quantifying multiattribute preferences

This paper examines the internal predictive validity of four multiattribute preference models: (a) a self-explicated model with equal importance weights; (b) a self-explicated model with unequal weights; (c) Sawtooth Software's Adaptive Conjoint Analysis (ACA); and (d) full profile conjoint analysis. We also discuss the problem of choosing criterion measures for comparing cross validations across models.The authors would like to acknowledge the support of the Huntsman Center for Global Competition and Innovation and the Crosby/Foggitt Fellowship from the Sol C. Snider Entrepreneurial Center, both at the Wharton School.     

Corporate Governance and Business Ethics

"It is this distancing of personal relationships, combined with their replacement by written contractual terms and conditions, which make the discussion of ethics within a corporate institutionalised context highly limited and problematic.' The challenge is to find means of personalising modern corporations so as to encourage ethical behaviour. Atul K. Shah PhD (Econ) ACA gained his doctorate from the London School of Economics and is Lecturer in the Department of Accounting and Financial Management, at the University of Essex, Wivenhoe Park, Colchester CO4 3SQ; e-mail ashah@essex.ac.uk . This article was conceived while he was Visiting Assistant Professor at the College of Business, University of Maryland, USA. The author wishes to thank Dan Ostas, Lee Preston and Stephen Loeb for helpful comments on earlier drafts.     

陕西渭北苹果物流发展的探讨

陕西渭北地区是我国乃至世界公认的苹果最佳产区。要使陕西渭北地区的苹果产业真正做大做强,大力发展苹果物流业是至关重要的。文章基于渭北地区白水县苹果物流的实地调查,针对其苹果物流存在的问题,探索适合陕西渭北苹果物流发展的模式及其对策措施。     

Kynecting the Dots: How Kentucky’s Willingness to Loosen the Reins Sparked a Health Insurance Enrollment Race in the Bluegrass State

The development of health insurance exchanges within the Patient Protection and Affordable Care Act (ACA) legislation is one of the hottest health policy issues of this decade. With the surprise enrollment success of Kentucky’s exchange called “Kynect,” the influence of how marketing and branding have contributed to the embrace of the policy has garnered interest from scholars and practitioners alike. Driven by the utilization of in-depth interviews, this study found that Kynect’s success was aided by three emergent themes: frequent communication between the outsourced marketing firm, Doe-Anderson, and relevant stakeholders; the willingness to delegate all marketing and branding control to Doe-Anderson; and a multiparty commitment to developing and executing a campaign that would simultaneously adhere to public values and accentuate a feeling of localness to constituents across the state. The paper contributes to existing literature by providing an inside look at how a government can find marketing success against historical odds.