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   

  1. 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


潘 昊,黄 媛   

  1. 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: 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

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