Showing 1 - 20 results of 3,000 for search '(( complement c3 algorithm ) OR ((( relevant data algorithm ) OR ( neural modelling algorithm ))))', query time: 0.43s Refine Results
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    Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

    Published 2025
    “…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”
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    Definitions of relevant SSA parameters. by Yeping Shi (14279118)

    Published 2024
    “…Response data are classified and regressed using a sparrow search algorithm (SSA)-optimized backpropagation neural network (BPNN). …”
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    NAR dynamic neural network model. by Zhanni Huang (20577481)

    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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    Licking behaviors and neural firings of the model. by Huu Hoang (9188747)

    Published 2025
    Subjects: “…supervised learning algorithms…”
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    Flowchart of GA-PSO-BP neural network model. by Jining Wang (3369305)

    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. by Halit Tutar (20678455)

    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. by Halit Tutar (20678455)

    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. …”