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Showing 1 - 20 results of 218 for search '(( final model weight optimization algorithm ) OR ( binary image codon optimization algorithm ))', query time: 0.59s Refine Results
  1. 1
    The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms.

    The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. by Qiongfang Zhang (18055134)

    Published 2025
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  2. 2
    Flow chart of INFO algorithm.

    Flow chart of INFO algorithm. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  3. 3
    Optimization results of structural parameters.

    Optimization results of structural parameters. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  4. 4
    INFO-KELM optimization results.

    INFO-KELM optimization results. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  5. 5
    Flow chart of INFO-KELM model.

    Flow chart of INFO-KELM model. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  6. 6
    Structure of proposed HMMS.

    Structure of proposed HMMS. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  7. 7
    Design variables.

    Design variables. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  8. 8
    Design parameters of proposed HMMS.

    Design parameters of proposed HMMS. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  9. 9
    Comparison of 3-D FEA and experimental waveforms.

    Comparison of 3-D FEA and experimental waveforms. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  10. 10
    LHS distribution of three parameters.

    LHS distribution of three parameters. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  11. 11
    WECs with MS replacing mechanical gearbox.

    WECs with MS replacing mechanical gearbox. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  12. 12
    Comparison of 3-D FEA and experimental harmonics.

    Comparison of 3-D FEA and experimental harmonics. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  13. 13
    Sensitivity analysis results of HMMS.

    Sensitivity analysis results of HMMS. by Qiongfang Zhang (18055134)

    Published 2025
    “…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”
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  14. 14
    Model of ELM.

    Model of ELM. by ZeSheng Lin (20501356)

    Published 2025
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  15. 15
    DBO-VMD optimization method parameters.

    DBO-VMD optimization method parameters. by Xianlin Ren (22783589)

    Published 2025
    “…Next it combines with composite multiscale permutation entropy to finish feature extraction and create feature vectors. Finally, an enhanced inertia weights and Cauchy chaotic mutation-Sine Cosine Algorithm is utilized to optimize the hyperparameters of the stacked denoising auto-encoders network and construct a fault diagnosis model. …”
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  16. 16
    PID controller parameters optimization process.

    PID controller parameters optimization process. by Hongjun Meng (5031806)

    Published 2025
    “…The proposed soft actuator model was validated, and the effectiveness of the proposed optimized algorithm was evaluated. …”
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  17. 17
    The weights of individuals with different .

    The weights of individuals with different . by Xuejiao Zhang (3089274)

    Published 2025
    “…Furthermore, to reduce the bias in attribute weight assessment caused by peer effects, a social network-based algorithm that enables precise quantification of subgroup and member weights is proposed. …”
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  18. 18
    Feature attribute weight cloud map.

    Feature attribute weight cloud map. by Dongling Ma (1269888)

    Published 2025
    “…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”
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  19. 19
    Weight values of basic characteristic attributes.

    Weight values of basic characteristic attributes. by Dongling Ma (1269888)

    Published 2025
    “…A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. …”
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  20. 20
    Node centrality and average weight.

    Node centrality and average weight. by Xuejiao Zhang (3089274)

    Published 2025
    “…Furthermore, to reduce the bias in attribute weight assessment caused by peer effects, a social network-based algorithm that enables precise quantification of subgroup and member weights is proposed. …”
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