期刊文献+

支持遗忘特征的记忆模型及其在知识管理中的应用 被引量:3

Forgetting-Featured Memory Model and Its Application to Knowledge Management
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摘要 为了在知识管理系统中有效进行知识筛选,本文将遗忘的特性引入知识管理,建立了复合记忆—遗忘数学模型.探讨了该模型的数学特性,并对其进行了适合计算机模拟的等效简化.探讨了该模型在知识管理系统中的应用和实现方法,并给出了实例.该模型有助于识别知识管理系统中的老化知识和新知识,优选关键知识,提高系统效率. In order to effectively filter the useful knowledge in knowledge management, a compound memory-forgetting model (CMFM) based on the feature of forgetting is produced. The mathematical model is analyzed and simplified so as to be suitable for computer simulation. The application of CMFM to knowledge management is studied, and an example is given. This model is helpful in distinguishing outdated knowledge, recognizing new knowledge, filtering key knowledge items and improving the efficiency of knowledge management systems.
出处 《信息与控制》 CSCD 北大核心 2008年第5期621-626,共6页 Information and Control
关键词 知识管理 记忆模型 遗忘 再激励 知识元 knowledge management memory model forgetting re-excitation knowledge unit
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参考文献13

  • 1郁义鸿.知识组织与传统组织的知识化[J].复旦学报(自然科学版),2001,40(2):138-142. 被引量:38
  • 2Martensson M. A critical review of knowledge management as a management tool [J]. Journal of Knowledge Management, 2000, 4(3): 204-216.
  • 3Olivera F. Memory systems in organizations: An empirical investigation of .mechanisms for knowledge collection, storage and access [J]. Journal of Management Studies, 2000, 37(6): 811-832.
  • 4Huang Y M, Chen J N, Kuo Y H, et al. An intelligent humanexpert forum system based on fuzzy information retrieval technique [J]. Expert Systems with Applications, 2008, 34(1): 446-458.
  • 5lshikawa Y, Chen Y B, Kitagawa H. An on-line document clustering method based on forgetting factors [A]. Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries [C]. Berlin, Germany: Springer, 2001. 325-339.
  • 6北京师范大学公共课《心理学》编写组.心理学[M].北京:北京师范大学出版社,1985.
  • 7Ebbinghaus H. Memory: A Contribution to Experimental Psychology [M]. New York, USA: Columbia University, 1913.
  • 8Sikstrom S. Forgetting curves: Implications for connectionist models [J]. Cognitive Psychology, 2002, 45(1): 95-152.
  • 9Jaber M Y, Kher H V. Variant versus invariant time to total forgetting: The learn-forget curve model revisited [J]. Computers & Industrial Engineering, 2004, 46(4): 697-705.
  • 10Jaber M Y, Sikstrom S. A numerical comparison of three potential learning and forgetting models [J]. International Journal of Production Economics, 2004, 92(3): 281-294.

二级参考文献8

  • 1维娜·艾莉 刘民慧(译).知识的进化[M].珠海:珠海出版社,1998..
  • 2孙玉文.[D].大连:大连理工大学,2002.
  • 3Smith D R. Autonomous Science Description with Range Imagery. CVGIP, 1985,31 (3):322-334.
  • 4Milroy M J. Segmentation of a Wrap- around Model Using an Active Contour. CAD, 1997,29(4):299-320.
  • 5Besl P J. Segmentation Through Variable--order Surface Fitting. IEEE PAMI, 1988, 10(2):167-192.
  • 6Leonardis A. Segmentation of Range Image as the Search for Geometric Parametric Models. International Journal of Computer Vision, 1995, 14 (3) :253-277.
  • 7刘民慧(译),知识的进化,1998年
  • 8北京师范大学公共课《心理学》编写组.心理学[M]北京师范大学出版社,1985.

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二级引证文献4

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