ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2023, Vol. 44 ›› Issue (8): 427237-427237.doi: 10.7527/S1000-6893.2022.27237
• Material Engineering and Mechanical Manufacturing • Previous Articles Next Articles
Ximing CUI1, Zhipeng QIU1, Jia WEI1, Chi ZHANG1, Kai SONG1(), Zhe LI2, Shupeng WANG2
Received:
2022-04-06
Revised:
2022-04-26
Accepted:
2022-05-23
Online:
2023-04-25
Published:
2022-06-08
Contact:
Kai SONG
E-mail:kevin.song@foxmail.com
Supported by:
CLC Number:
Ximing CUI, Zhipeng QIU, Jia WEI, Chi ZHANG, Kai SONG, Zhe LI, Shupeng WANG. Data-driven method for characterization of structural steel surface stress of magnetic Barkhausen noise[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(8): 427237-427237.
Table 1
Test effect of BP neural network prediction model for lower surface stress of three-point bending test block
测试点个数 | 预测值/ | 实际值/ | 相对误差/% |
---|---|---|---|
1 | 53.84 | 63.29 | 14.93 |
2 | 62.58 | 74.77 | 16.30 |
3 | 75.23 | 86.91 | 10.71 |
4 | 98.47 | 108.34 | 9.11 |
5 | 108.06 | 118.80 | 9.04 |
6 | 117.77 | 128.66 | 8.47 |
7 | 139.13 | 137.82 | 0.95 |
8 | 141.41 | 146.14 | 3.24 |
9 | 148.78 | 153.54 | 3.10 |
10 | 154.37 | 159.91 | 3.47 |
11 | 155.40 | 165.19 | 5.93 |
12 | 165.06 | 169.31 | 2.51 |
13 | 166.14 | 172.23 | 3.54 |
14 | 172.61 | 173.90 | 0.74 |
15 | 171.44 | 174.32 | 1.65 |
16 | 172.49 | 173.49 | 0.58 |
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