Results 101 to 110 of about 17,157 (222)

Modelling of ultrasonic assisted osmotic dehydration of cape gooseberry using adaptive neuro-fuzzy inference system (ANFIS). [PDF]

Ultrason Sonochem, 2023
Kumar Dash K, Sundarsingh A, BhagyaRaj GVS, Kumar Pandey V, Kovács B, Mukarram SA.   +5 more
europepmc   +1 more source

Determination of the Gas-Oil Ratio below the Bubble Point Pressure Using the Adaptive Neuro-Fuzzy Inference System (ANFIS). [PDF]

ACS Omega, 2022
Ayoub Mohammed MA, Alakbari FS, Nathan CP, Mohyaldinn ME.   +3 more
europepmc   +1 more source

Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients

مجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih, Alireza Atashi, Hojjat Ahsani Tehrani   +2 more
doaj  

A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis. [PDF]

PLoS One, 2022
Alakbari FS, Mohyaldinn ME, Ayoub MA, Muhsan AS, Hussein IA.   +4 more
europepmc   +1 more source

Identifikasi Kegagalan Peralatan Proteksi pada Jaringan Distribusi PT. Pln Gardu Induk Garuda Sakti Menggunakan Anfis (Adaptive Neural Fuzzy Inference System) [PDF]

, 2015
The purpose of research is to identification process of faulty protection devices using operating status of circuit breaker. Technique used for the identification process is Adaptive Neuro-Fuzzy Inference System (ANFIS).
Ervianto, E. '. (Edy), Hamdani, E. '. (Eddy), Juliana, D. '. (Devi)   +2 more
core  

An Overview of Adaptive Neuro-Fuzzy Inference System (ANFIS)

Adaptive Neuro-Fuzzy Inference System (ANFIS) is a powerful hybrid intelligent technique that combines the qualitative reasoning of fuzzy logic with the learning capability of artificial neural networks. By employing a structured fuzzy inference mechanism and data-driven parameter adaptation, ANFIS can effectively model and control complex nonlinear ...
openaire   +1 more source

Adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) modelling of Cu, Cd, and Pb adsorption onto tropical soils. [PDF]

Environ Sci Pollut Res Int, 2023
Agbaogun BK, Olu-Owolabi BI, Buddenbaum H, Fischer K.   +3 more
europepmc   +1 more source

Application of ANFIS for Prediction Micro Holes in EDM

مجلة النهرين للعلوم الهندسية, 2017
The present work demonstrates the optimization process of Micro- hole of Electrical Discharge Machining (EDM) by Adaptive Neuro Fuzzy Inference System (ANFIS). The workpiece material was copper alloy.
Shukry H. Aghdeab, Raed R. Shwaish
doaj  

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