| 基于神经网络的数据挖掘算法 |
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| 引用本文： | 李别.基于神经网络的数据挖掘算法[J].广东技术师范学院学报,2005(4):26-29. |
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| 作者姓名： | 李别 |
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| 作者单位： | 广东财经职业学院 广东广州510420 |
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| 摘 要： | 数据挖掘涉及多学科技术的集成,包括数据库技术、神经网络、模式识别、信息检索、图像与信号处理和空间数据分析等.神经网络在数据挖掘中的应用也越来越广泛,尽管神经网络具有结构复杂、网络训练时间长、结果表示不容易理解等缺陷,但其对噪声数据的高承受能力和低错误率的优点是其他方法所不及的,并在数据挖掘所采用的方法中具有优势.本文对基于BP神经网络的数据挖掘算法进行了详细的讨论,并提出了算法改进方法.
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| 关 键 词： | 数据挖掘 神经网络 算法 |
| 文章编号： | 1672-402X（2005）04-0026-04 |
| 收稿时间： | 2005-05-20 |
| 修稿时间： | 2005年5月20日 |
The Algorithm of Data Mining Based on Neural Networks |
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| Li Bie.The Algorithm of Data Mining Based on Neural Networks[J].Journal of Guangdong Polytechnic Normal University,2005(4):26-29. |
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| Authors: | Li Bie |
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| Abstract: | Data mining involves multidisciplinary technologies, and is the combination of them, including data base technique, neural networks, pattern recognition, information index, imagines and signals processing and space data analysis etc. Neutral networks are widely applied in data mining step by step. Although it contains several demerits such as its structure being too complicated, the period of net training lasting too long, indication of results being hard to understand and so on, its merit on high endurance and low error rate in dealing chaos data cannot be matched by other methods, thus having the advantages among the applying methods of data mining. This paper probes into data mining algorithm based on BP neural networks, and furthermore provides the improved meth od of algorithm. |
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| Keywords: | data mining neural networks algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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