بدائل البحث:
modeling algorithm » making algorithm (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)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
modeling algorithm » making algorithm (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)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
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Cost functions implemented in Neuroptimus.
منشور في 2024"…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …"
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Source Code for Comparative Study of Search Trees Implemented in Java
منشور في 2025"…<p dir="ltr">Implementation of Search Tree Algorithms in Java for Performance Comparison</p>…"
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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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Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests'
منشور في 2024"…Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"
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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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Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Children: Based on A Genetic Algorithm Optimized Back-Propagation Neural Network Predictive Model'
منشور في 2024"…Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"
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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. …"