Search alternatives:
based optimization » whale optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
layer model » water model (Expand Search), linear model (Expand Search), cancer model (Expand Search)
based optimization » whale optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
layer model » water model (Expand Search), linear model (Expand Search), cancer model (Expand Search)
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Comparison of optimization algorithms.
Published 2024“…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …”
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Genetic algorithm flowchart.
Published 2024“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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The Search process of the genetic algorithm.
Published 2024“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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Prediction performance of the EGA-BPNN model with different numbers of hidden layer nodes.
Published 2025Subjects: -
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Algorithm comparison.
Published 2024“…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …”
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RGBD input layer.
Published 2024“…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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Proposed Algorithm.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Genetic algorithm iteration data chart.
Published 2024“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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RGB+D input layer.
Published 2024“…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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Process of GWO optimization.
Published 2024“…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …”
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Result of the best layer replication positions.
Published 2024“…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”