بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
complement each » complement 5a (توسيع البحث), complement c3 (توسيع البحث), complement c5 (توسيع البحث)
neural modeling » neural modelling (توسيع البحث), neural coding (توسيع البحث), causal modeling (توسيع البحث)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
complement each » complement 5a (توسيع البحث), complement c3 (توسيع البحث), complement c5 (توسيع البحث)
neural modeling » neural modelling (توسيع البحث), neural coding (توسيع البحث), causal modeling (توسيع البحث)
mesh algorithm » best algorithm (توسيع البحث), mean algorithm (توسيع البحث), means algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
element mesh » element method (توسيع البحث), elements mges (توسيع البحث), element te (توسيع البحث)
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NAR dynamic neural network model.
منشور في 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
منشور في 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.
منشور في 2025الموضوعات: "…supervised learning algorithms…"
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
منشور في 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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Flowchart of GA-PSO-BP neural network model.
منشور في 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.
منشور في 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.
منشور في 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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Multi-material topology optimization using scaled boundary finite element method
منشور في 2025"…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …"
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Performance metrics of the Deep Neural Network (DNN) model on training data.
منشور في 2025الموضوعات: