| 用Scilab实现基于人工神经网络的数据分类 |
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| 引用本文： | 舒婷,武友新. 用Scilab实现基于人工神经网络的数据分类[J]. 计算机与现代化, 2006, 0(11): 74-76 |
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| 作者姓名： | 舒婷 武友新 |
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| 作者单位： | 南昌大学信息工程学院,江西,南昌,330029 |
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| 摘 要： | 运用人工神经网络中的简单感知器模型和Widrow-Hoff学习法则，借助Scilab具体实现数据分类。通过对数据挖掘中数据分类的一个重要分类方法——人工神经网络方法的研究，证明了人工神经网络在数据分类中具有很大的潜力和优越性。
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| 关 键 词： | 数据分类 神经网络 感知器 Widrow-Hoff学习法则 |
| 文章编号： | 1006-2475（2006）11-0074-03 |
| 收稿时间： | 2005-12-02 |
| 修稿时间： | 2005-12-02 |
Realization of Data Classification Based on Artificial Neural Network by Scilab |
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| SHU Ting,WU You-xin. Realization of Data Classification Based on Artificial Neural Network by Scilab[J]. Computer and Modernization, 2006, 0(11): 74-76 |
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| Authors: | SHU Ting WU You-xin |
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| Affiliation: | Institute of Information Engineering of Nanchang University, Nanchang 330029, China |
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| Abstract: | Based on the simple perceptron model, and Widrow-Hoff learning algorithm of artificial neural network, this paper gives some examples of data classification by using the Seilab software. Through the research on artificial neural network, which is an important method of data classification in data mining, the advantages of artificial neural network technology are proved. |
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| Keywords: | Scilab |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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