بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
using function » using functional (توسيع البحث), waning function (توسيع البحث), lung function (توسيع البحث)
sine function » gene function (توسيع البحث), time function (توسيع البحث), state function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
using function » using functional (توسيع البحث), waning function (توسيع البحث), lung function (توسيع البحث)
sine function » gene function (توسيع البحث), time function (توسيع البحث), state function (توسيع البحث)
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WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).
منشور في 2025الموضوعات: "…dimensional benchmark functions…"
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WST results for LLSKSO and other algorithms on benchmark test functions. (<i>α</i> = 0.05).
منشور في 2025الموضوعات: "…dimensional benchmark functions…"
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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional
منشور في 2025"…In contrast, for smaller and denser systems such as diamond nanoparticles, especially if employing large basis sets, algorithms that use the underlying molecular orbital coefficients offer superior performance, despite their higher formal scaling. …"
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High-dimensional benchmark test functions.
منشور في 2025الموضوعات: "…dimensional benchmark functions…"
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The structure of genetic algorithm (GA).
منشور في 2024"…First, physico-chemical inputs as bulk density (BD), initial water content (W<sub>i</sub>), saturated water content (W<sub>s</sub>), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"
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