Search alternatives:
weight optimization » design optimization (Expand Search), joint optimization (Expand Search)
loop optimization » codon optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
model weight » model weights (Expand Search), body weight (Expand Search), model which (Expand Search)
final model » animal model (Expand Search)
image loop » image 1_look (Expand Search)
weight optimization » design optimization (Expand Search), joint optimization (Expand Search)
loop optimization » codon optimization (Expand Search), wolf optimization (Expand Search), lead optimization (Expand Search)
model weight » model weights (Expand Search), body weight (Expand Search), model which (Expand Search)
final model » animal model (Expand Search)
image loop » image 1_look (Expand Search)
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ATHGS-Googlenet model training progress.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”
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Structure of proposed HMMS.
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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Design variables.
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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Design parameters of proposed HMMS.
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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Comparison of 3-D FEA and experimental waveforms.
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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LHS distribution of three parameters.
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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WECs with MS replacing mechanical gearbox.
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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Comparison of 3-D FEA and experimental harmonics.
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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30
Sensitivity analysis results of HMMS.
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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Flow chart of density peak clustering algorithm.
Published 2024“…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …”
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Compare the test functions.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”
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37
Inception block structure.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”
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Flowchart of ATHGS-Googlenet.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”
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39
ATHGS-Googlenet confusion matrix.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”
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Flowchart of HGS.
Published 2024“…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …”