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modeling algorithm » making algorithm (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
complement cnn » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
cnn algorithm » mean algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
modeling algorithm » making algorithm (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
elements based » experiments based (Expand Search), elements related (Expand Search)
complement cnn » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
cnn algorithm » mean algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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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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NAR dynamic neural network model.
Published 2025“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
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Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks
Published 2025“…By leveraging group <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math>-norm constrained neural networks, the proposed approach aims to simultaneously extract crucial features and estimate the underlying model function with statistically guaranteed accuracy. …”
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Licking behaviors and neural firings of the model.
Published 2025Subjects: “…supervised learning algorithms…”
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Flowchart of GA-PSO-BP neural network model.
Published 2025“…To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network. …”
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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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