بدائل البحث:
processing algorithm » routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
waste processing » data processing (توسيع البحث), wood processing (توسيع البحث), image processing (توسيع البحث)
neural modeling » neural modelling (توسيع البحث), neural coding (توسيع البحث), causal modeling (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
processing algorithm » routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
waste processing » data processing (توسيع البحث), wood processing (توسيع البحث), image processing (توسيع البحث)
neural modeling » neural modelling (توسيع البحث), neural coding (توسيع البحث), causal modeling (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
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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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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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ANOVA was performed to test the differences between the algorithms for each indicator.
منشور في 2024الموضوعات: -
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Licking behaviors and neural firings of the model.
منشور في 2025الموضوعات: "…supervised learning algorithms…"
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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. …"