| 神经网络在材料低周疲劳寿命预测中的应用 |
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| 引用本文： | 付丽强,林桐,吴维青.神经网络在材料低周疲劳寿命预测中的应用[J].福州大学学报(自然科学版),2001,29(5):57-60. |
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| 作者姓名： | 付丽强 林桐 吴维青 |
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| 作者单位： | 福州大学机械工程系, |
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| 摘 要： | 采用基于BP算法的三层前向神经网络 ,用滞后环上的数据点辨识滞后环的形状参数 ,并根据疲劳过程形状参数的变化 ,阐明形状参数可以用来预测材料的疲劳寿命 .
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| 关 键 词： | 神经网络 疲劳寿命 材料 |
| 文章编号： | 1000-2243(2001)05-0057-04 |
| 修稿时间： | 2001年3月7日 |
Neural network used in the prediction of the low-periodic fatigue life-span of materials |
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| FU Li-qiang.Neural network used in the prediction of the low-periodic fatigue life-span of materials[J].Journal of Fuzhou University(Natural Science Edition),2001,29(5):57-60. |
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| Authors: | FU Li-qiang |
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| Institution: | FU Li-qiang (Department of the Mechanical Engineering, Fuzhou university, Fuzhou, Fujian 350002, China) |
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| Abstract: | The feedforward neural network with three layers based on BP algorithm is used to predict the fatigue life-span of materials, distinguishing the shape parameters of the hysteresis loops by data of the points of the hysteresis loops, and then showing that the shape parameters can be used to predict the fatigue life span of materials according to the variance of the shape parameters during the fatigue process. |
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| Keywords: | neural network fatigue life-span materials |
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