| 自组织数据挖掘与人工神经网络方法比较研究 |
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| 引用本文： | 贺昌政,张宾,俞海.自组织数据挖掘与人工神经网络方法比较研究[J].系统工程理论与实践,2002,22(11):11-14. |
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| 作者姓名： | 贺昌政 张宾 俞海 |
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| 作者单位： | 四川大学工商管理学院 |
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| 基金项目： | 国家自然科学基金 (70 2 71 0 73 ) |
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| 摘 要： | 着重分析了自组织数据挖掘与人工神经网络方法对系统的先验知识的利用 ,算法过程以及推广能力方面的差别 ,显示了自组织数据挖掘方法具有能同时利用关于系统的先验知识和来自观察数据样本的信息的良好性能 ,并指出 ,这应当成为研究复杂系统的一条重要途径.
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| 关 键 词： | 自组织数据挖掘 人工神经网络 复杂系统 |
| 文章编号： | 1000-6788(2002)11-0011-04 |
| 修稿时间： | 2002年4月1日 |
The Comparison between the Self-organizing Data Mining and Artificial Neural Network |
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| HE Chang\|zheng,Zhang Bin,YU Hai.The Comparison between the Self-organizing Data Mining and Artificial Neural Network[J].Systems Engineering —Theory & Practice,2002,22(11):11-14. |
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| Authors: | HE Chang\|zheng Zhang Bin YU Hai |
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| Institution: | Business School,Sichuan University |
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| Abstract: | This paper analyzes the difference between the method of self\|organizing data mining and artificial neural network in the usage of priori information to system, algorithm process and generalization capability. It has been presented that the method of self\|organizing data mining has a good capability of using both priori information on the system and information from sample case. Also authors point out that this method is an efficient approach to the research of complex systems. |
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| Keywords: | self\|organizing data mining artificial neural network complex systems |
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