Search alternatives:
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
neural finding » neural fitting (Expand Search), neural coding (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
neural finding » neural fitting (Expand Search), neural coding (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Validation tests of feature decoding during the associative memory paradigm.
Published 2025Subjects: -
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Typical LSTM neural network.
Published 2025“…Comparative analysis with seven other machine learning algorithms confirms the superior performance of PSO-LSTM. …”
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Dendrogram of the stock prices.
Published 2025“…By testing these models on real-world data obtained from the US stock market, we were able to obtain preliminary findings on their utility.…”
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Descriptive statistics on stock prices.
Published 2025“…By testing these models on real-world data obtained from the US stock market, we were able to obtain preliminary findings on their utility.…”
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Correlation heatmap of the principal components.
Published 2025“…By testing these models on real-world data obtained from the US stock market, we were able to obtain preliminary findings on their utility.…”
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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 Algorit...
Published 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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