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计算机工程 ›› 2010, Vol. 36 ›› Issue (15): 164-167. doi: 10.3969/j.issn.1000-3428.2010.15.058

• 人工智能及识别技术 • 上一篇    下一篇

基于生物记忆原理的智能伸展树模型

黄光球,周 娇   

  1. (西安建筑科技大学管理学院,西安 710055)
  • 出版日期:2010-08-05 发布日期:2010-08-25
  • 作者简介:黄光球(1964-),男,教授、博士,主研方向:信息检索,网络安全;周 娇,硕士研究生
  • 基金资助:
    陕西省自然科学基金资助项目(2007E217);陕西省教育厅专项基金资助项目(09JK524)

Intellectualized Stretching Tree Model Based on Biological Memory Principle

HUANG Guang-qiu, ZHOU Jiao   

  1. (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055)
  • Online:2010-08-05 Published:2010-08-25

摘要: 针对普通伸展树节点移动方式单调、灵活性和实时性差的缺点,提出一种基于生物记忆原理的智能伸展树模型。该模型利用短时记忆元不断衰减和更新的特点及短时记忆元与长时记忆、综合记忆的关系,建立相应的数学模型,借助节点访问度反映节点向前移动的步幅大小。实验结果表明,智能伸展树具有良好的实时性和动态性,具有一定的应用价值。

关键词: 记忆原理, 智能伸展树, 遗忘, 查找

Abstract: Aiming at the shortness of single node moving mode, poor flexibility and real-time in common stretching tree, this paper proposes a model of intellectualized stretching tree based on biological memory principles. The model establishes corresponding math model through the short memory cell’s characteristics of decreasing and updating and the relationship of short memory, long memory and comprehensive memory. The node accessing range reflects the step number of node forward moving. Experimental result shows that intellectualized stretching tree can track the latest development in real time, dynamic character and has application value to some degree.

Key words: memory principle, intellectualized stretching tree, forgetting, search

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