| 疲劳实验曲线拟合的神经网络方法 |
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| 引用本文： | 王小同,杨庆雄.疲劳实验曲线拟合的神经网络方法[J].航空学报,1994,15(3):359-361. |
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| 作者姓名： | 王小同 杨庆雄 |
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| 作者单位： | 西北工业大学120信箱,西安,710072 |
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| 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。
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| 关 键 词： | 疲劳 神经网 函数分析 |
| 收稿时间： | 1993-06-26 |
| 修稿时间： | 1993-09-25 |
NEURAL NETWORK METHOD FOR FITTING FATIGUE EXPERIMENTAL CURVES |
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| WangXiantong, YangQingxiong.NEURAL NETWORK METHOD FOR FITTING FATIGUE EXPERIMENTAL CURVES[J].Acta Aeronautica et Astronautica Sinica,1994,15(3):359-361. |
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| Authors: | WangXiantong YangQingxiong |
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| Institution: | Box 120, Northwestern Polytechnical University,Xi'an,710072 |
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| 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. |
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| Keywords: | fatigue(materials) neural nets function analvsis |
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