EMPLOYING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN FORECASTING TO REDUCE THE SPREAD OF EPIDEMICS WITH A PRACTICAL APPLICATION
International Journal of Agricultural and Statistical Sciences
; 17:1333-1339, 2021.
Article
in English
| Scopus | ID: covidwho-1738371
ABSTRACT
The development in the methods used in forecasting has made countries compete to take their place in optimization the use of these methods, especially under the spread of the new Covid-19 epidemic, so in this research we applied the Adaptive Neuro Fuzzy Inference System (ANFIS) to data on infection numbers for the Corona pandemic for all Governorates of Iraq, and the time series data is usually collected over time either for equal intervals or for unequal intervals [Ravichandran et al. (2012)]. And the forecasting results indicated that the forecasting data follow the same path as the actual data. The hybrid algorithm in the ANFIS showed good forecasting results through five independent inputs and a dependent variable that represents the number of injuries. © 2021 DAV College. All rights reserved.
Search on Google
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
International Journal of Agricultural and Statistical Sciences
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS