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algorithm machine » algorithm achieves (Expand Search), algorithm within (Expand Search)
machine function » achieve functions (Expand Search), sine function (Expand Search)
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Accuracy of the support vector machines for different proportion of test samples.
Published 2025Subjects: -
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Multidimensional test results of BWEMFO and MFO on IEEE CEC 2017 test functions.
Published 2025Subjects: -
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Development of the CO<sub>2</sub> Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms
Published 2024“…In this research study, we created a data set and collected data points from porous adsorbents (2789) from 21 published papers, including carbon-based, porous polymers, metal–organic frameworks (MOFs), and zeolites, to understand their characteristics for CO<sub>2</sub> adsorption. Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO<sub>2</sub> adsorption performance as a function of characteristics and adsorption isotherm parameters. …”
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The convergence curves of the test functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Single-peaked reference functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Graphical illustration of a spectral approach for training support vector machine.
Published 2025Subjects: -
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