Results 81 to 90 of about 30,817 (217)

Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)

MATICS, 2016
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

Adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM) prediction of biodiesel dynamic viscosity at 313 K

, 2017
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

Al-Khawarizmi Engineering Journal, 2015
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

Revista Brasileira de Engenharia de Biossistemas
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, Caetano Dartiere Zulian Fermino, Ricardo Marques Barreiros   +2 more
doaj   +1 more source

Analysis of the Hungarian Unaccented Dactylic Finger-Spelling Alphabet Using an Adaptive Neuro-Fuzzy Inference System (ANFIS)

Bánki Közlemények
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, Márta Takács, Gábor Simon-Nagy   +2 more
doaj  

Vibration Control of Passenger Aircraft Active Landing Gear Using Neural Network-Based Fuzzy Inference System

Applied Sciences
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

Dataset of experimental and adaptive neuro-fuzzy inference system (ANFIS) model prediction of R600a/MWCNT nanolubricant in a vapour compression system. [PDF]

Data Brief, 2020
Babarinde TO, Akinlabi SA, Madyira DM, Ekundayo FM, Adedeji PA.   +4 more
europepmc   +1 more source

Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation

International Journal of Engineering Continuity
Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge.
Abdurohman Abdurohman, Marsul Siregar, Catherine Olivia Sereati, Silviana Windasari, MM. Lanny W. Pandjaitan   +4 more
openaire   +1 more source

Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods

Engineering Reports
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, T. Razzaghnia, K. Fathi, A. Mostafaee   +3 more
doaj   +1 more source

Suitability Assessment of Cage Fish Farming Location in Reservoirs through Neural Networks-Based Remote Sensing Analysis

Remote Sensing
The present study evaluates the application of different artificial intelligence methods associated with remote sensing data processing for assessing water quality parameters, with a focus on fish cage farming in the reservoirs.
Mahdi Sedighkia, Bithin Datta
doaj   +1 more source