Improved wavelet neural networks in damage of bridge forecasting

doi:10.3778/j.issn.1002-8331.2010.03.063

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (3): 204-206.DOI: 10.3778/j.issn.1002-8331.2010.03.063

• 工程与应用 • Previous Articles Next Articles

Improved wavelet neural networks in damage of bridge forecasting

PAN Hao，HUANG Yuan

College of Computer Science，Wuhan University of Technology，Wuhan 430070，China

Received:2008-07-31 Revised:2008-10-23 Online:2010-01-21 Published:2010-01-21
Contact: PAN Hao

改进的小波神经网络在桥梁损伤中的预测研究

潘昊，黄媛

武汉理工大学计算机科学与技术学院，武汉 430070

通讯作者: 潘昊

Abstract

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.

Key words: BP Neural Network, Wavelet Neural Networks（WNN）, improved algorithm, damage

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。

关键词: BP神经网络, 小波神经网络, 改进算法, 损伤

CLC Number:

TP183

PAN Hao，HUANG Yuan. Improved wavelet neural networks in damage of bridge forecasting[J]. Computer Engineering and Applications, 2010, 46(3): 204-206.

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.

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Improved wavelet neural networks in damage of bridge forecasting

改进的小波神经网络在桥梁损伤中的预测研究

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