Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods
Engineering ReportsIn fuzzy regression, estimation of centers and spreads of triangular fuzzy numbers are both performed using the same methods, such as linear programming (LP), quadratic programming (QP), fuzzy weighted linear programming (FWLP), and adaptive neuro‐fuzzy ...
M. Pakdel +3 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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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
europepmc +1 more source
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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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 +1 more
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Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System [PDF]
Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS.
Camelia Ioana Ucenic +4 more
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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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Prediksi Penjualan Obat Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS)
J I M P - Jurnal Informatika Merdeka Pasuruan, 2023 Siti Rahmah +2 more
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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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Overcurrent Relay Coordination using an Adaptive Neuro Fuzzy Inference Systems (ANFIS)
Electrotehnica, Electronica, Automatica, 2020 Andika Syaiful RIZAL +4 more
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