Supplementary material REVISADO.pdf (514.21 kB)
S1. Supplementary material.Predicted and real reference outputs of the SRNN, GRU, and LSTM architectures with their training, and validation losses for different number of units p
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modified on 2022-09-06, 16:07 Predicted and real reference outputs of the SRNN, GRU, and LSTM architectures with their training, and validation losses for different number of units p.
