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BP神经网络在团队创新记录的应用 被引量:1

A Study on BPNN Application in Team Creation Record
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摘要 知识创新是许多组织的重要竞争因素,现代组织越来越多地利用团队解决复杂的创新任务。团队方法的缺点是信息分散,导致组织知识碎片和知识流失。而且,由于创新和创新提出人不能被及时地记录,经常导致不能合理有效地促进团队创新。团队创新信息及时、有效地记录是知识管理的基础和必要环节。面对具体的创新任务,团队在创新过程中可以使用的记录方法是多种多样的,本文采用人工神经网络的方法,研究不同条件下,团队创新活动的记录方法的有效性。 Knowledge creation is an important competitive factor in many organizations. In order to compete in complex and turbulent markets, these firms must create, share, and manage knowledge that will give them a competitive advantage. One method of knowledge creation that has been used by organizations for many years is focus group. One drawback of the team approach is that information decentralization often results in organizational knowledge fragmentation and a loss of organizational learning. Moreover, because the creation information and the member proposing the information were not tracked in time, the team creation cannot be reasonably and effectively promoted. This study seeks to find the effective and efficient tracking approaches to promote team knowledge creation. The method of Backpropagation neural netowork (BPNN) is used to set up the model reflecting the match relation between knowledge creation activities & tracking approaches.
出处 《系统工程理论方法应用》 2004年第5期414-418,共5页 Systems Engineering Theory·Methodology·Applications
基金 国家自然科学基金资助项目(70271025) 国家自然科学基金重大项目(7990580) 优秀团队项目(70121001)
关键词 团队 知识创新 信息记录 神经网络 team knowledge creation information tracking neural network
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参考文献6

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同被引文献6

  • 1Byounggu Choi,Heeseok Lee.Knowledge Management Strategy and Its Link to Knowledge Creation Process[J].Expert Systems with Applications,2002,23(3):173-187.
  • 2Michael Parent,R Brent Gallupe,Wm David Salisbury,et al.Knowledge Creation in Focus Groups:Can Group Technologies Help?[J].Information & Management,2000,38(1):47-58.
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  • 5Quaddus Mohammed,Xu Jun.Adoption and Diffusion of Knowledge Management Systems:Field Studies of Factors and Variables[J].Knowledge-based Systems,2005,18(2):107-115.
  • 6Letsche Todd A,Berry Michael W.Large-scale Information Retrieval with Latent Semantic Indexing[J].Information Sciences,1997,100(1):105-137.

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