| 改进的小波神经网络在桥梁损伤中的预测研究 |
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| 引用本文： | 潘昊,黄媛. 改进的小波神经网络在桥梁损伤中的预测研究[J]. 计算机工程与应用, 2010, 46(3): 204-206. DOI: 10.3778/j.issn.1002-8331.2010.03.063 |
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| 作者姓名： | 潘昊 黄媛 |
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| 作者单位： | 武汉理工大学 计算机科学与技术学院，武汉 430070 |
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| 基金项目： | 湖北省自然科学基金No.2007ABA180~~ |
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| 摘 要： | 提出基于BP算法的小波神经网络改进算法。仿真结果表明它避免了BP 神经网络结构设计的盲目性和局部最优等非线性优化问题，简化了训练，具有较强的函数学习能力和推广能力。该算法成功应用于桥梁损伤预测，具有广泛的应用前景。
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| 关 键 词： | BP神经网络 小波神经网络 改进算法 损伤 |
| 收稿时间： | 2008-07-31 |
| 修稿时间： | 2008-10-23 |
Improved wavelet neural networks in damage of bridge forecasting |
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| PAN Hao,HUANG Yuan. Improved wavelet neural networks in damage of bridge forecasting[J]. Computer Engineering and Applications, 2010, 46(3): 204-206. DOI: 10.3778/j.issn.1002-8331.2010.03.063 |
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| Authors: | PAN Hao HUANG Yuan |
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| Affiliation: | College of Computer Science，Wuhan University of Technology，Wuhan 430070，China |
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| Abstract: | The improved algorithm of Wavelet Neural Networks(WNN) based on BP is proposed.Theoretical analysis and simulation result show it avoids both the blindness of framework designs for BP Neural Networks and the problem of nonlinear optimizations,such as local optimization.So it can simplify the training of Neural Networks.It has better abilities in function learning and generalization.This algorithm is applied to the damage of bridge forecasting.Therefore it has wide application prospect. |
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| Keywords: | BP Neural Network Wavelet Neural Networks(WNN) improved algorithm damage |
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