بدائل البحث:
marked decrease » marked increase (توسيع البحث)
learning font » learning force (توسيع البحث), learning from (توسيع البحث), learning context (توسيع البحث)
font decrease » point decrease (توسيع البحث), fold decrease (توسيع البحث), cost decreased (توسيع البحث)
marked decrease » marked increase (توسيع البحث)
learning font » learning force (توسيع البحث), learning from (توسيع البحث), learning context (توسيع البحث)
font decrease » point decrease (توسيع البحث), fold decrease (توسيع البحث), cost decreased (توسيع البحث)
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Time step optimization can greatly improve the efficiency of training and inference.
منشور في 2025الموضوعات: -
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A novel RNN architecture to improve the precision of ship trajectory predictions
منشور في 2025"…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …"
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