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Fig. 9 | BioData Mining

Fig. 9

From: Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks

Fig. 9

The evolution of the predicted 30 days starting with the days 30, 110, 180, 250, 320, 390, 430, 530, 610. The predictions for the first 10 days were highlighted. This reinforces that the predictions are good for short periods of time and they loose the prediction power on longer periods of time. The main lesson we learn from the above figure is the fact that the parameters are not constant in time

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BioData Mining

ISSN: 1756-0381