بدائل البحث:
location algorithm » selection algorithm (توسيع البحث), encryption algorithm (توسيع البحث), correction algorithm (توسيع البحث)
multiple lines » multiple linear (توسيع البحث), multiple levels (توسيع البحث)
lines location » new location (توسيع البحث), nine locations (توسيع البحث), its location (توسيع البحث)
location algorithm » selection algorithm (توسيع البحث), encryption algorithm (توسيع البحث), correction algorithm (توسيع البحث)
multiple lines » multiple linear (توسيع البحث), multiple levels (توسيع البحث)
lines location » new location (توسيع البحث), nine locations (توسيع البحث), its location (توسيع البحث)
-
1
-
2
Power line configuration.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
3
-
4
Ongoing scalp lesion at 8 months post commencement of antimicrobial therapy.
منشور في 2024الموضوعات: -
5
-
6
-
7
500kV T-Connection transmission line.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
8
-
9
-
10
Parameters of the system.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
11
S1 Fig -
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
12
Train sample set.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
13
Comparison of training set prediction results.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
14
Other sample set.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
15
Comparison of data loss test set predictions.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
16
Random forest classification method process.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
17
Simulation results of random fault test.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
18
Test sample set.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
19
Explanation of symbols or terms.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
-
20
Comparison of noise impact test set predictions.
منشور في 2023"…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"