https://drospirenonechemical.c....om/remarkable-loss-o
In inclusion, the GRU neural network paid off the possibility of overfitting the deep-learning design with little sample data. Overall, the PV-GRU prediction model exhibited significant superiority in forecasting non-smooth and non-linear Chl-a sequences with a relatively small test dimensions. The prediction mistakes of PV-GRU design were all less than those of various other comparative models, together with fitted determination coefficient R2 was 94.21%. These results indicated t
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