航空学报 > 1994, Vol. 15 Issue (3): 359-361

疲劳实验曲线拟合的神经网络方法

王小同, 杨庆雄   

  1. 西北工业大学120信箱,西安,710072
  • 收稿日期:1993-06-26 修回日期:1993-09-25 出版日期:1994-03-25 发布日期:1994-03-25

NEURAL NETWORK METHOD FOR FITTING FATIGUE EXPERIMENTAL CURVES

Wang Xiantong, Yang Qingxiong   

  1. Box 120, Northwestern Polytechnical University,Xi'an,710072
  • Received:1993-06-26 Revised:1993-09-25 Online:1994-03-25 Published:1994-03-25

摘要: 通过构造反向传播神经网络,对疲劳实验曲线进行学习,实现由神经网络表示的多维函数逼近。此种学习是一个慢速过程,但由这一逼近预测得出疲劳曲线则是一个快速过程。拟合结果表明,这一方法十分有效、稳定,便于使用。

关键词: 疲劳, 神经网, 函数分析

Abstract: Multidimensional funetion approximation of fatigue experimental curves is achieved by applying neural network techniques.The constructed Back-Propagation Neural Network(BPNN) learns these curves by using leaming algorithm,and this sort of leaming is a long time process.After BPNN has learned the curves suceessfully,the prediction of new curves will pro- ceed with short time. The prediction process can be linked very easily with fatigue life pxediction program. The results of fitting show that the method is verv effective,stable and convenient.

Key words: fatigue (materials), neural nets, function analysis

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