بدائل البحث:
fitting algorithm » filtering algorithm (توسيع البحث), twisting algorithm (توسيع البحث), finding algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based finding » based findings (توسيع البحث), based funding (توسيع البحث), based binding (توسيع البحث)
data fitting » data settings (توسيع البحث), data mining (توسيع البحث)
fitting algorithm » filtering algorithm (توسيع البحث), twisting algorithm (توسيع البحث), finding algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based finding » based findings (توسيع البحث), based funding (توسيع البحث), based binding (توسيع البحث)
data fitting » data settings (توسيع البحث), data mining (توسيع البحث)
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Algorithmic experimental parameter design.
منشور في 2024"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"
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2
Spatial spectrum estimation for three algorithms.
منشور في 2024"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"
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Convergence curves for all algorithms.
منشور في 2025"…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …"
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Parameter Settings for competitive algorithms.
منشور في 2025"…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …"
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Details of multiple GWO algorithm variants.
منشور في 2025"…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …"
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Overview of CINner’s mathematical model and simulation algorithm.
منشور في 2025"…Right: data available to be computed in each step (see S1 Notes). …"
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15
The fitness values during the MABC optimization.
منشور في 2025"…The coefficient of determination (<i><i>R</i></i><sup>2</sup>) is 0.93, significantly higher than for all comparison models. The findings demonstrate the effectiveness of combining an intelligent optimization algorithm with the LSSVM model. …"
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Coprime array with interpolated array elements.
منشور في 2024"…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …"
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17
Comparison results of prediction model with single algorithm and combination algorithm.
منشور في 2025الموضوعات: -
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