Search alternatives:
processing algorithm » routing algorithm (Expand Search), tracking algorithm (Expand Search), boosting algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
waste processing » data processing (Expand Search), wood processing (Expand Search), image processing (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
processing algorithm » routing algorithm (Expand Search), tracking algorithm (Expand Search), boosting algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
waste processing » data processing (Expand Search), wood processing (Expand Search), image processing (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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RF Algorithm error rate of the model.
Published 2025“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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Model surface plots in MARS algorithm.
Published 2025“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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Performance metrics of the Deep Neural Network (DNN) model on training data.
Published 2025Subjects: -
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Performance metrics of the Recurrent Neural Network (RNN) model on training data.
Published 2025Subjects: -
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The structure of genetic algorithm (GA).
Published 2024“…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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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction
Published 2025Subjects: “…bayesian optimization algorithm…”
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Confusion matrix heatmap for the Deep Neural Network (DNN) model on training data.
Published 2025Subjects: -
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Confusion matrix heatmap for the Recurrent Neural Network (RNN) model on training data.
Published 2025Subjects: -
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