| 用于BP网络的样本添加法 |
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| 引用本文： | 张晓明,孙宝元.用于BP网络的样本添加法[J].大连理工大学学报,1997,37(5):564-567. |
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| 作者姓名： | 张晓明 孙宝元 |
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| 作者单位： | 大连理工大学机械工程系(张晓明)，北京石油化工学院(孙宝元) |
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| 摘 要： | 提出了一种改善ＢＰ网络学习能力的样尊添加法，它是根据人类学习知识时存在遗忘现象而设计的。首先阐明其工作原理与学习算法；接着将它用于ＢＰ网络之中，以处理三倍冗 表决问题。
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| 关 键 词： | 神经网络 算法 BP网络 样本添加法 学习能力 |
Sample increasing method for BP neural networks |
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| Zhang Xiaoming,Sun Baoyuan.Sample increasing method for BP neural networks[J].Journal of Dalian University of Technology,1997,37(5):564-567. |
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| Authors: | Zhang Xiaoming Sun Baoyuan |
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| Abstract: | A sample increasing method for BP neural networks is proposed. It is designed based on the phenomenon of forgetting when men are learning knowledge. After the principle and algorithm of the method are stated, the BP neural network is applied to voting processing. The results show the good performance of the method for convergence of BP neural nets. |
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| Keywords: | neural networks algorithms/BP networks voting sample increasing method |
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