Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
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The flow of the SP-DRL algorithm.
Published 2023“…Finally, instances are used to analyze the optimization effect of the algorithm. …”
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83
Image_1_On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell.TIF
Published 2021“…We overcome the intrinsic limitations of the extant optimization methods by proposing an alternative optimization component based on multimodal algorithms. …”
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Comparison of algorithm search curves.
Published 2023“…The optimal parameters such as the width and weight of RBF are determined, and the optimal RDC-RBF fault diagnosis model is established. …”
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86
Model comparison experiment.
Published 2025“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”
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Weekdays and weekend patterns for net demand.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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91
Wilcoxon signed-rank test results.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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92
The diagram of the LSTM neural network.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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93
Error distribution.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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94
A simple structure of GRU.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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95
MSE score plot with epoch.
Published 2025“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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DeepDate model’s architecture design.
Published 2024“…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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99
General structure of COA optimized MNS-YOLO.
Published 2025“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”
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100