Author: Cosimo Distante; Igor Gadelha Pereira; Luiz Marcos Garcia Goncalves; Prisco Piscitelli; Alessandro Miani
Title: Forecasting Covid-19 Outbreak Progression in Italian Regions: A model based on neural network training from Chinese data Document date: 2020_4_14
ID: azpz6e7q_10
Snippet: The first phase regards the time in which the real data is available, for this phase we compute only t one-step-ahead forecasting. The second phase regards the time in which there is no real data availab hence we compute multiple-step-ahead forecasting. In general, the second phase starts on the last day available data......
Document: The first phase regards the time in which the real data is available, for this phase we compute only t one-step-ahead forecasting. The second phase regards the time in which there is no real data availab hence we compute multiple-step-ahead forecasting. In general, the second phase starts on the last day available data.
Search related documents:
Co phrase search for related documents- ahead step and multiple step ahead: 1, 2
- ahead step and multiple step ahead forecasting: 1
- ahead step forecasting and multiple step: 1
- ahead step forecasting and multiple step ahead: 1
- ahead step forecasting and multiple step ahead forecasting: 1
Co phrase search for related documents, hyperlinks ordered by date