A Hybridized Machine Learning Approach for Predicting COVID-19 Using Adaptive Neuro-Fuzzy Inference System and Reptile Search Algorithm

A Hybridized Machine Learning Approach for Predicting COVID-19 Using Adaptive Neuro-Fuzzy Inference System and Reptile Search Algorithm

This research is aimed to escalate Adaptive Neuro-Fuzzy Inference System (ANFIS) functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 pandemic has been a global threat for the past three years. Therefore, advanced forecasting of confirmed infection cases is extr...

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Bibliographic Details
Main Authors: Thandra Jithendra, Shaik Sharief Basha
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Diagnostics
Subjects:
coefficient of determination
COVID-19 influenza
fuzzy logic
nature-inspired algorithms
Online Access:https://www.mdpi.com/2075-4418/13/9/1641

Internet

https://www.mdpi.com/2075-4418/13/9/1641

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