[感谢]求英文文献2篇（每篇奖励100币）

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1 题目：Artificial Neurol Networks in Policy Research: A Current Assessment

作者：Joseph Woelfel
 
出处：Journal of Communication，1993，Volume 43 Issue 1, Pages 63 - 80

2 题目：Human resource management: an agenda for the 1990s

作者：Chris Hendry; Andrew Pettigrew

出处：The International Journal of Human Resource Management, Volume 1, Issue 1 June 1990 , pages 17 - 43

链接：http://www.informaworld.com/smpp/content~content=a739423019~db=all~order=page

上传附件后，请务必设置出售帖，我来购买，谢谢！

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[此贴子已经被作者于2009-4-29 16:47:23编辑过]

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关键词：求英文文献 英文文献 informaworld Internation Management 文献 奖励 英文 感谢 每篇

2

319681.pdf (1.47 MB, 需要: 100 个论坛币)

2009-4-28 01:24:00 上传

[求助]求英文文献2篇（每篇奖励100币）
需要: 100 个论坛币  [购买]

第一篇帮你找到了摘要

我这里wiley要1996年以后的才可以用

Artificial Neurol Networks in Policy Research: A Current Assessment

Joseph Woelfel ¹

  ¹ Joseph Woelfel is professor and chair at the Department of Communication, and senior fellow at the Rockfeller Institute of Government at the State University of New York at Buffalo.

The author is grateful for the kind assistance of N. J. Stoyanoff and Scott Danielsen of Terra Research and Computing, Inc., for use of Terra software, proprietary data, and technical assistance. Terra also provided access to several of its software beta test sites, which provided invaluable information about the applications of artificial neural networks in large-scale marketing and advertising research. David Wassman of J. Walter Thompson and Ford Motor Company, Jim Leiman at MOR-PACE, Gary Dispensa at Elrick & Lavidge Marketing Research, and Steve Parrish of Image Engineering were particularly generous with time and information. Thanks also are due to respondents at the 1992 Advanced Research Techniques Forum of the American Marketing Association at Lake Tahoe for comments on an earlier version of this paper. GALILEO and CATPAC are trademarks of the Galileo company. Rights for the distribution of GALILEO software are assigned to Terra Research and Computing Company, Inc.

Copyright 1993 by the Journal of Communication

ABSTRACT

Recent advances in neuroscience, computer science, psychology, and other fields have led to the development of computer programs that are modeled, in principle, on idealizations of organic neural structures. These artificial neural networks (ANNs) exhibit important properties that promise great usefulness for policy researchers. Most important among these are ANNs'ability to learn to identify complex patterns of information and to associate them with other patterns. Furthermore, like their biological predecessors, ANNs can recognize and recall these patterns and associations in spite of noisy, incomplete, or otherwise defective information inputs. ANNs can also generalize information learned about one or more patterns to other related patterns. As a result, ANNs have already found extensive use in areas once reserved for multivariate statistical programs such as regression and multiple classification analysis, and are developing an extensive community of advocates for processing text and other qualitative information.

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DIGITAL OBJECT IDENTIFIER (DOI)

10.1111/j.1460-2466.1993.tb01249.x About DOI

摘要不行呀，呵呵！Wiley的摘要是可以免费看到的，我得要全文，不过谢谢你帮我找到第2篇文献。

111111111111111

 

http://www.brsbox.com/filebox/down/fc/5e537e084400df996c54cc46bfbd8228

 

or

 

http://www.soudoc.com/webdisk/myfile/people/fulltext.pdf

ok