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| Ultima descărcare din IBN: 2023-01-12 12:45 |
 SM ISO690:2012GOREA, Adela, CARPENCO, Alexandr. Application of Predictive Methods in the Analysis of Data Sets Regarding the Pandemic Caused by COVID 19. In: Workshop on Intelligent Information Systems, Ed. 2022, 6-8 octombrie 2022, Chisinau. Chişinău: Valnex, 2022, pp. 118-124. ISBN 978-9975-68-461-3. |
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| Workshop on Intelligent Information Systems 2022 | |||||||
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Conferința "Workshop on Intelligent Information Systems" 2022, Chisinau, Moldova, 6-8 octombrie 2022 | |||||||
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| Pag. 118-124 | |||||||
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The purpose of this research is to investigate the relationship between the number of cases of Covid-19 and to develop an automatic learning model for predicting the number of illnesses for 2022. In the first part of the research, there was analyzed the situation in several countries that were affected by the pandemic. Then we analyzed the elaboration and training of the model of automatic learning for prediction |
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| Cuvinte-cheie Regression analysis models, machine learning, Deep learning, COVID-19. |
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