| 对小波网络中BP算法的实验改进与研究 |
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| 引用本文： | 王晓红.对小波网络中BP算法的实验改进与研究[J].山西科技,2007(3):67-68. |
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| 作者姓名： | 王晓红 |
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| 作者单位： | 中北大学 |
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| 摘 要： | 多层前馈神经网络可以任意精度逼近任何连续函数,作为一种非线性工具得到了广泛的应用。其中,BP(Back-Propagation)神经网络即反向传播神经网络在非线性系统辨识建模、预测、控制、优化和决策中的应用最为成功。
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| 关 键 词： | BP算法 小波网络 改进 |
| 文章编号： | 1004-6429(2007)03-0067-02 |
| 修稿时间： | 2007-03-01 |
Experimental Improvement and Study of the BP Algorithm in the Wavelet Network |
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| Wang Xiaohong.Experimental Improvement and Study of the BP Algorithm in the Wavelet Network[J].Shanxi Science and Technology,2007(3):67-68. |
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| Authors: | Wang Xiaohong |
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| Institution: | 中北大学,030051 |
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| Abstract: | Multi feedforward neural networks may approach any continuous function by random precision and are widely used as a non-linear tool,in which BP(back-propagation) network is most successful in non-linear system identification,prediction,control,optimization and decision-making. |
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| Keywords: | BP algorithm wavelet network improvement |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
