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Showing 1 - 15 results of 15 for search '(( binary game based optimization algorithm ) OR ( single layer wolf optimization algorithm ))', query time: 0.44s Refine Results
  1. 1
    Comparison of optimization algorithms.

    Comparison of optimization algorithms. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  2. 2
    Algorithm comparison.

    Algorithm comparison. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  3. 3
    Process of GWO optimization.

    Process of GWO optimization. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  4. 4
    . Fitness curve.

    . Fitness curve. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  5. 5
    Partial faults features.

    Partial faults features. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  6. 6
    Diagram of faults identification.

    Diagram of faults identification. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  7. 7
    Confusion matrix.

    Confusion matrix. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  8. 8
    Sample group.

    Sample group. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  9. 9
    Data in the experiment.

    Data in the experiment. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  10. 10
    Diagram of attention mechanism.

    Diagram of attention mechanism. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  11. 11
    Accuracy curve.

    Accuracy curve. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  12. 12
    Structure of MLP.

    Structure of MLP. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  13. 13
    Fault recording signal.

    Fault recording signal. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  14. 14
    Ablation study.

    Ablation study. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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  15. 15
    Dual-channel MLP-Attention model.

    Dual-channel MLP-Attention model. by Ning Ji (325849)

    Published 2024
    “…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”
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