بدائل البحث:
weight optimization » joint optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
final sampling » final sample (توسيع البحث), field sampling (توسيع البحث), edna sampling (توسيع البحث)
binary more » binary image (توسيع البحث)
more weight » core weight (توسيع البحث), model weight (توسيع البحث), score weights (توسيع البحث)
weight optimization » joint optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
final sampling » final sample (توسيع البحث), field sampling (توسيع البحث), edna sampling (توسيع البحث)
binary more » binary image (توسيع البحث)
more weight » core weight (توسيع البحث), model weight (توسيع البحث), score weights (توسيع البحث)
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1
MSE for ILSTM algorithm in binary classification.
منشور في 2023"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"
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Multi objective optimization design process.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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4
Optimal Latin square sampling distribution.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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5
PANet network design.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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6
BiFPN network design.
منشور في 2025"…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …"
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7
The flowchart of Algorithm 2.
منشور في 2024"…To solve this optimization model, a multi-level optimization algorithm is designed. …"
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8
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9
Design variables and range of values.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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10
Feasibility diagram of design points.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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Sample points and numerical simulation results.
منشور في 2024"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"
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Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg
منشور في 2022"…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …"
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17
Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg
منشور في 2022"…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …"
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18
Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg
منشور في 2022"…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …"
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19
Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg
منشور في 2022"…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …"
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20
Image_4_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg
منشور في 2022"…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …"