Data-Driven AI-Based Parameters Tuning Using Grid Partition Algorithm for Predicting Climatic Effect on Epidemic Diseases

Data-Driven AI-Based Parameters Tuning Using Grid Partition Algorithm for Predicting Climatic Effect on Epidemic Diseases

Adaptive Neuro-fuzzy Inference System (ANFIS) remains one of the promising AI techniques to handle data over-fitting and as well, improves generalization. Presently, many ANFIS optimization techniques have been synergized and found effective at some points through trial and error procedures. In this...

Full description

Bibliographic Details
Main Authors: Sunusi Bala Abdullahi, Kanikar Muangchoo, Auwal Bala Abubakar, Abdulkarim Hassan Ibrahim, Kazeem Olalekan Aremu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive neuro fuzzy inference system
artificial Intelligence
COVID-19
climatic impacts
epidemic diseases
grid partition algorithm
Online Access:https://ieeexplore.ieee.org/document/9400168/

Internet

https://ieeexplore.ieee.org/document/9400168/

Similar Items