This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and load. In this research work presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) based Levenberg-Marquardt (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in maximum power point tracking (MPPT) energy harvesting in solar photovoltaic (PV) system to forge a comparative performance analysis of the four different algorithms. A comparative analysis among the algorithms in terms of the performance of handling the trained dataset is presented. The MATLAB/Simulink environment is used to design the maximum power point tracking energy harvesting system and the artificial neural network toolbox is utilized to analyze the developed model. However, considering the dataset training, the correlation between input-output and error, the Levenberg-Marquardt ANFIS algorithm performs better.Keywords: ANFIS, ANN, BR, SCG, MPPT, DC to DC boost converter.
The COVID-19 outbreak served as a stark reminder that the global community is not fully prepared for pandemics. In order to effectively deal with potential future health risks, such as diseases that might be more lethal and widespread than COVID-19, strong and adaptable health systems will need to be built. The provision of relief by the government in the form of aid for healthcare and contingency planning becomes a source of delight in light of the insights gained from the present predicament. The advancement of general healthcare as well as the identification and control of epidemics might benefit significantly from the use of AI. The use of artificial intelligence (AI) in healthcare has expanded more rapidly in recent years as a direct result of the pandemic; yet, there are still a great number of challenging issues that need to be handled before the approaches can be used in real-world contexts. It is imperative that the World Health Organization's Department of Health Research and Technology, which is in charge of digitizing COVID-19, be established in order to provide assistance to nations whose levels of digital development differ greatly. The World Health Organization (WHO) is dedicated to assisting nations in the use of these cutting-edge technologies in order to improve the ability of health systems to respond to outbreaks and prevent future ones.Keywords: artificial intelligence, healthcare, COVID-19.