pohl-michel / time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regressionView external linksLinks
Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares (LMS), or multivariate linear regression. The optimal hyper-parameters are selected using grid search with parallel processing.
☆17Oct 12, 2024Updated last year
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