| 一种基于模糊决策树的运动预测机制 |
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| 引用本文： | 王兴伟,原常青,黄敏. 一种基于模糊决策树的运动预测机制[J]. 计算机科学, 2005, 32(9): 176-179 |
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| 作者姓名： | 王兴伟 原常青 黄敏 |
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| 作者单位： | 东北大学计算中心,沈阳,110004;东北大学信息科学与工程学院,沈阳,110004 |
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| 基金项目： | 国家自然科学基金项目（60473089,60003006,70101006）;辽宁省自然科学基金项目（20032018,20032019）;教育部现代远程教育工程项目. |
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| 摘 要： | 通过考虑环境约束及用户运动的随机性,设计了一种基于模糊决策树的运动预测机制.该机制在示例集的基础上,利用属性模糊化和模糊分类熵建立初始模糊决策树,由此生成模糊决策规则进行预测,根据变化情况适时对模糊决策树进行必要的维护.仿真研究表明,该机制预测准确率较高,预测开销较小,是可行和有效的.
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| 关 键 词： | 运动预测 模糊决策树 模糊分类熵 移动Internet |
A Fuzzy-Decision-Tree-Based Motion Prediction Mechanism |
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| WANG Xing-Wei,YUAN Chang-Qing,HUANG Min. A Fuzzy-Decision-Tree-Based Motion Prediction Mechanism[J]. Computer Science, 2005, 32(9): 176-179 |
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| Authors: | WANG Xing-Wei YUAN Chang-Qing HUANG Min |
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| Affiliation: | 1.Computing Center, Northeastern University, Shenyang 110004;2.School of Information Science and Engineering, Northeastern University, Shenyang 110004 |
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| Abstract: | Considering environment factor and user movement randomness, a fuzzy decision tree based motion prediction mechanism in mobile Internet is proposed. Based on the instance set, an initial fuzzy decision tree is built up with fuzzy attribute and classification entropy. The tree produces fuzzy decision rules for instant motion predictions and evolves with time. Simulation results have shown that the proposed mechanism is both feasible and effective with relatively high accuracy and low overhead of motion prediction. |
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| Keywords: | Motion prediction Fuzzy decision tree Fuzzy classification entropy Mobile Internet |
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