| 基于并行反向熵决策树算法的人工神经网络 |
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| 引用本文： | 王卓君,王亚弟,毛致国. 基于并行反向熵决策树算法的人工神经网络[J]. 计算机应用与软件, 2008, 25(7) |
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| 作者姓名： | 王卓君 王亚弟 毛致国 |
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| 作者单位： | 解放军信息工程大学电子技术学院,河南,郑州,450004;解放军信息工程大学,河南,郑州,450004 |
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| 摘 要： | 针对数据分类挖掘问题,利用并行思想,提出一种基于并行反向熵决策树算法的人工神经网络.通过概率度量水平生成并行决策树对数据进行粗处理,以加快人工神经网络的分析速度.随后采用一组仿真数据对该方法进行测试和评估.实验结果表明,该并行分类方法比单个决策树具有更高的分类精度,并在保持分类结果良好可解释性的基础上优化了分类规则.
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| 关 键 词： | 人工神经网络 并行决策树 熵 数据挖掘 |
NEURAL NETWORK ON PARALLEL REVERSE ENTROPY DECISION TREE |
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| Wang Zhuojun,Wang Yadi,Mao Zhiguo. NEURAL NETWORK ON PARALLEL REVERSE ENTROPY DECISION TREE[J]. Computer Applications and Software, 2008, 25(7) |
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| Authors: | Wang Zhuojun Wang Yadi Mao Zhiguo |
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| Affiliation: | Wang Zhuojun1 Wang Yadi2 Mao Zhiguo21(College of Electronic Technology,PLA Information Engineering University,Zhengzhou 450004,Henan,China)2(PLA Information Engineering University,China) |
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| Abstract: | For classification problems in data mining,based on the parallel thinking,in this paper it proposed a neural network which is based on parallel reverse entropy decision trees.To rough handle the data through level generated parallel decision trees which adopted the method of probability measurement,the analysis speed of neural network was accelerated.Then a serial of simulative data was used to test and evaluate this method.Experiment result manifested that the parallel method has higher classification accu... |
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| Keywords: | Neural network Parallel decision trees Entropy Data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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