| 基于粗糙集与BP神经网络的分布式数据挖掘算法 |
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| 引用本文： | 洪月华.基于粗糙集与BP神经网络的分布式数据挖掘算法[J].玉林师范学院学报,2011(5):133-136. |
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| 作者姓名： | 洪月华 |
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| 作者单位： | 广西经济干部管理学院计算机系; |
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| 基金项目： | 广西自然基金项目(桂科自0832286); 广西自然青年项目(桂科青0832101) |
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| 摘 要： | 利用数据挖掘来提高网络中能量利用率是无线传感器网络(WSN)的一个重要研究方向.本文构建了基于粗糙集与神经网络相结合的无线传感器网络分布式数据挖掘算法.该算法用粗糙集对节点内的原始数据进行离散化与属性约简后得到的最简决策表训练BP神经网络,再将构造好的BP神经网络集成在每个传感器节点上.仿真结果表明,该算法可以降低数据维数,消除冗余数据、减少网络通信量、延长网络寿命.
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| 关 键 词： | 无线传感器网络 粗糙集 BP神经网络 分布式数据挖掘 |
Distributed Data Mining Algorithm based on Rough Set Theory and BP Neural Network |
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| HONG Yue-hua.Distributed Data Mining Algorithm based on Rough Set Theory and BP Neural Network[J].Journal of Yulin Teachers College,2011(5):133-136. |
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| Authors: | HONG Yue-hua |
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| Institution: | HONG Yue-hua(School of Computer Science and Engineering,Guangxi Economic Management Cadre Institute,Nanning,Guangxi 537000) |
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| Abstract: | In the research and application of Wireless Sensor Networks(WSN),the use of data mining to improve energy efficiency is an important direction.A distributed data mining algorithm based on rough set theory and BP network was designed and applied to wireless sensor networks.Raw data are discretized and reduced rough set attributes.Minimun condition attributes set is obtained by distributed data mining algorithm.Finally,the reduced decision attributes were used to construct BP neural network classification dat... |
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| Keywords: | wireless sensor network rough set theory BP neural network distributed data mining |
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