Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)
The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network.
openaire +2 more sources
The purpose of this work was to investigate the applicability of adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM) approaches for modeling the biodiesel blends property including dynamic viscosity at various volume ...
Y. Kassem, H. Çamur, Engin Esenel
semanticscholar +1 more source
Intelligent H2/H∞ Robust Control of an Active Magnetic Bearings System
Robust controller design requires a proper definition of uncertainty bounds. These uncertainty bounds are commonly selected randomly and conservatively for certain stability, without regard for controller performance.
Safanah M. Raafat, Rini Akmeliawati
doaj
Kinetic modeling and neuro-fuzzy application in ethanol production
This study presents the application of kinetic modeling and Neuro-Fuzzy techniques in ethanol production. The research aims to optimize the fermentation process by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict ethanol yield ...
Emmanuel Zullo Godinho +2 more
doaj +1 more source
This study presents the principles of fuzzy logic and the operation of the Adaptive Neuro-Fuzzy Inference System (ANFIS). It then focuses on the analysis of the Hungarian, unaccented finger-spelling alphabet using the ANFIS approach.
Annamária Cserfalvi +2 more
doaj
Dataset of experimental and adaptive neuro-fuzzy inference system (ANFIS) model prediction of R600a/MWCNT nanolubricant in a vapour compression system. [PDF]
Babarinde TO +4 more
europepmc +1 more source
Runway surface roughness is recognized as a principal cause of passenger aircraft vibration during taxiing, adversely affecting ride comfort, safety, and even human health.
Aslı Durmuşoğlu, Şahin Yıldırım
doaj +1 more source
Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods
In 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
doaj +1 more source
Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters
This 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
doaj +1 more source
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]
Anadebe VC +5 more
europepmc +1 more source

