Modeling and Forecasting Cases of RSV Using Artificial Neural Networks
In this paper, we study and present a mathematical modeling approach based on artificial neural networks to forecast the number of cases of respiratory syncytial virus (RSV). The number of RSV-positive cases in most of the countries around the world present a seasonal-type behavior. We constructed a...
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Main Authors: | , , |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doaj.org/article/119951f3937c4bfabc088e36a0195a36 |
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