Search alternatives:
modeling algorithm » making algorithm (Expand Search)
complement cc3d » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
cc3d algorithm » cscap algorithm (Expand Search), cnn algorithm (Expand Search), wold algorithm (Expand Search)
main algorithm » making algorithm (Expand Search), magic algorithm (Expand Search), mean algorithm (Expand Search)
second main » second aim (Expand Search)
modeling algorithm » making algorithm (Expand Search)
complement cc3d » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
neural modeling » neural modelling (Expand Search), neural coding (Expand Search), causal modeling (Expand Search)
cc3d algorithm » cscap algorithm (Expand Search), cnn algorithm (Expand Search), wold algorithm (Expand Search)
main algorithm » making algorithm (Expand Search), magic algorithm (Expand Search), mean algorithm (Expand Search)
second main » second aim (Expand Search)
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NAR dynamic neural network model.
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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Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks
Published 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.
Published 2025Subjects: “…supervised learning algorithms…”
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Flowchart of GA-PSO-BP neural network model.
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.
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.
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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Encryption and decryption time (unit: Seconds).
Published 2025“…The main purpose of this algorithm is to improve the encryption and decryption speed of color images and improve the efficiency of image encryption in the big data era. …”
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