Cargando…
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...
Autores principales: | Jithendra, Thandra, Sharief Basha, Shaik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178244/ https://www.ncbi.nlm.nih.gov/pubmed/37175032 http://dx.doi.org/10.3390/diagnostics13091641 |
Ejemplares similares
-
Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system
por: Pham, Minh Hai, et al.
Publicado: (2020) -
Multiple Adaptive Neuro-Fuzzy Inference System with Automatic Features Extraction Algorithm for Cervical Cancer Recognition
por: Subhi Al-batah, Mohammad, et al.
Publicado: (2014) -
An adaptive-neuro fuzzy inference system based-hybrid technique for performing load disaggregation for residential customers
por: Abbas, Muhammad Zaigham, et al.
Publicado: (2022) -
Application of Adaptive Neuro-Fuzzy Inference System in Flammability Parameter Prediction
por: Afriyie Mensah, Rhoda, et al.
Publicado: (2020) -
Taxonomy of Adaptive Neuro-Fuzzy Inference System in Modern Engineering Sciences
por: Chopra, Shivali, et al.
Publicado: (2021)