Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (5): 1108-1122.doi: 10.23919/JSEE.2022.000108
• SYSTEMS ENGINEERING • Previous Articles Next Articles
Jun CHEN1,2,*(), Xudong GAO1(), Jia RONG3(), Xiaoguang GAO1()
Received:
2021-10-19
Online:
2022-10-27
Published:
2022-10-27
Contact:
Jun CHEN
E-mail:junchen@nwpu.edu.cn;gxdcoolest@mail.nwpu.edu.cn;jiarong@acm.org;xggao@nwpu.edu.cn
About author:
Supported by:
Jun CHEN, Xudong GAO, Jia RONG, Xiaoguang GAO. A situation awareness assessment method based on fuzzy cognitive maps[J]. Journal of Systems Engineering and Electronics, 2022, 33(5): 1108-1122.
Table 1
Performance metrics for each learning algorithm (training set)"
Learning algorithm | EV | ME | MAE | MSE | MedAE | R2 | Running time/s |
Random forest | 0.8960 | 0.2020 | 0.0843 | 0.0109 | 0.0710 | 0.8869 | 0.1098 |
PSO | 1.0000 | 0.0039 | 0.0012 | 0.0000 | 0.0005 | 1.0000 | 21244.7169 |
Gradient descent | 0.8766 | 0.5404 | 0.1258 | 0.0479 | 0.0406 | 0.8753 | 9283.7482 |
PSO (in hybrid algorithm) | 0.9757 | 0.2740 | 0.0614 | 0.0099 | 0.0368 | 0.9743 | 6376.7343 |
Hybrid algorithm | 0.9994 | 0.0350 | 0.0119 | 0.0002 | 0.0091 | 0.9994 | 14767.0731 |
Table 2
Performance metrics for each learning algorithm (test set)"
Learning algorithm | EV | ME | MAE | MSE | MedAE | R2 | Running time/s |
Random forest | 0.8775 | 0.2025 | 0.0994 | 0.0259 | 0.0768 | 0.8780 | 0.1098 |
PSO | 0.9957 | 0.0056 | 0.0306 | 0.0476 | 0.0118 | 0.9696 | 21244.7169 |
Gradient descent | 0.8688 | 0.5866 | 0.1449 | 0.0599 | 0.0863 | 0.8708 | 9283.7482 |
PSO (in hybrid algorithm) | 0.9500 | 0.2996 | 0.0705 | 0.0250 | 0.0593 | 0.9718 | 6376.7343 |
Hybrid algorithm | 0.9680 | 0.0695 | 0.0165 | 0.0274 | 0.0189 | 0.9800 | 14767.0731 |
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