Electrochemical-kinetics, MD-simulation and multi-input single-output (MISO) modeling using adaptive neuro-fuzzy inference system (ANFIS) prediction for dexamethasone drug as eco-friendly corrosion inhibitor for mild steel in 2 M HCl electrolyte. [PDF]
J Taiwan Inst Chem Eng, 2020 Anadebe VC +5 more
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Control of DC-DC Buck Converter Based on Adaptive Neuro Fuzzy Inference System (ANFIS)
JTEIN: Jurnal Teknik Elektro IndonesiaVarious electrical equipment uses direct voltage (DC) as its power source, such as electronic equipment, dc motors and so on. Direct voltage (DC) used in electrical equipment usually consists of various voltage ratings ranging from 1.5 volts, 3 volts, 6 volts 12 volts and others.
Muharani Syafitri, Muldi Yuhendri
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Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters
Mathematical and Computational ApplicationsThis work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez +4 more
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BarekengThis research aims to implement and evaluate the accuracy of the Adaptive Neuro Fuzzy Inference System (ANFIS) forward stage method to predict the economic growth rate of the Tuban Regency. In the application of ANFIS, two types of variables are required,
Maya Muaziza +2 more
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International Journal of Fuzzy SystemsAbstract The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in processing practical data from control, prediction, and inference applications, reflecting advantages in both high performance and system interpretability as a result of the hybridization of neural networks and fuzzy systems.
Dongsong Zhang, Tianhua Chen
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Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO
Power Electronics and DrivesThe 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
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Diagnosis of Hepatitis using Adaptive Neuro-Fuzzy Inference System (ANFIS)
International Journal of Computer Applications, 2018 Kasali Funmilayo +2 more
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CLASSIFYING PLANTS’ HEALTH USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
Proceedings in CyberneticsThe 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.
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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.
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