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modeling algorithm » making algorithm (Expand Search)
complement cc3d » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (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)
cc3d algorithm » cscap algorithm (Expand Search), cnn algorithm (Expand Search), wold algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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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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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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