Results 121 to 130 of about 17,157 (222)

Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO

Power Electronics and Drives
The incorporation of hybrid renewable energy sources (RESs) into grid-integrated systems, comprising photovoltaic (PV) systems, wind turbines (WTs) and battery energy storage systems (BESSs), has become increasingly crucial in meeting global energy ...
Singh Manpreet, Singh Lakhwinder
doaj   +1 more source

Adaptive neuro-fuzzy inference systems (ANFIS) applied on medical diagnosis

Summarization: The last thirty years Artificial Intelligence (AI) and Machine Learning (ML) used for computer systems to make fast, inexpensive, non invasive medical predictions and have a crucial importance as supporting tools for the doctors. Since 2013, cardiovascular disease (CVD) is the number one killer factor in the world with 31% of global ...
Μπαρουτης Νικολαος http://users.isc.tuc.gr/~nbaroutis, Baroutis Nikolaos http://users.isc.tuc.gr/~nbaroutis   +1 more
openaire   +1 more source

Review of ANFIS (Adaptive Neuro-Fuzzy Inference Systems)

Περίληψη: Μη ...
openaire   +1 more source

Diagnosis of Hepatitis using Adaptive Neuro-Fuzzy Inference System (ANFIS)

International Journal of Computer Applications, 2018
Kasali Funmilayo, Omotosho Olawale, Rahmon Ibrahim   +2 more
openaire   +1 more source

Evaluation of a new neutron energy spectrum unfolding code based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). [PDF]

J Radiat Res, 2018
Hosseini SA, Esmaili Paeen Afrakoti I.
europepmc   +1 more source

Forecasting Unemployment Rate Using a Neural Network with Fuzzy Inference System [PDF]

Greece is a low-productivity economy with an ineffective welfare state, relying almost exclusively on low wages and social transfers. Failure to come to terms with this reality hampers both the appropriateness of EU recommendations and the Greek ...
Camelia Ioana Ucenic, Christos Skiadas, George Atsalakis   +2 more
core  

COVID-19 Time-Varying Reproduction Number and its Prediction by Adaptive Neuro-Fuzzy Inference System (ANFIS)

, 2021
Riadi A, Nugroho YS, Nurwidya F.
europepmc   +1 more source

Design and development of a model for tennis elbow injury prediction and prevention using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) approaches. [PDF]

BMC Musculoskelet Disord
Patel H, Patel HK, Sharma A, Srivastava S.   +3 more
europepmc   +1 more source

Solid oxide fuel cell (SOFC) control strategy enhancement by adaptive neuro-fuzzy inference system (ANFIS). [PDF]

Sci Rep
Ramadan S, Al-Gabalaw M, El-Shimy M, Emarah A.   +3 more
europepmc   +1 more source

CLASSIFYING PLANTS’ HEALTH USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Proceedings in Cybernetics
The study classifi es eight types of plants’ diseases using an adaptive neuro-fuzzy inference system (ANFIS). Haralick texture features obtained from plants’ images are applied as input data for a system. A hybrid algorithm consisting of a backward propagation of error and a gradient descent performed the ANFIS training.
openaire   +1 more source