Cargando…

Changes in the Number of Membership Functions for Predicting the Gas Volume Fraction in Two-Phase Flow Using Grid Partition Clustering of the ANFIS Method

[Image: see text] A 2D-bubble column reactor (BCR) including gas and liquid phases is simulated, and fluid characteristics such as gas-phase volume fraction and gas-phase turbulence are extracted from the CFD simulations. A type of heuristic algorithm called adaptive network-based fuzzy inference sy...

Descripción completa

Detalles Bibliográficos
Autores principales:	Babanezhad, Meisam, Nakhjiri, Ali Taghvaie, Shirazian, Saeed
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2020
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346269/ https://www.ncbi.nlm.nih.gov/pubmed/32656451 http://dx.doi.org/10.1021/acsomega.0c02117

Ejemplares similares

ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS)
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of Nanofluid Temperature Inside the Cavity by Integration of Grid Partition Clustering Categorization of a Learning Structure with the Fuzzy System
por: Nabipour, Narjes, et al.
Publicado: (2020)

Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow
por: Babanezhad, Meisam, et al.
Publicado: (2020)

gbell Learning function along with Fuzzy Mechanism in Prediction of Two-Phase Flow
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Simulation of liquid flow with a combination artificial intelligence flow field and Adams–Bashforth method
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Developing Intelligent Algorithm as a Machine Learning Overview over the Big Data Generated by Euler–Euler Method To Simulate Bubble Column Reactor Hydrodynamics
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model
por: Nguyen, Quyen, et al.
Publicado: (2020)

Predicting Air Superficial Velocity of Two-Phase Reactors Using ANFIS and CFD
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors
por: Pelalak, Rasool, et al.
Publicado: (2021)

Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of Nanofluid Characteristics and Flow Pattern on Artificial Differential Evolution Learning Nodes and Fuzzy Framework
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer
por: Babanezhad, Meisam, et al.
Publicado: (2020)

High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system
por: Pourtousi, Zahra, et al.
Publicado: (2021)

Pressure and temperature predictions of Al(2)O(3)/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Thermal and Flow Visualization of a Square Heat Source in a Nanofluid Material with a Cubic-Interpolated Pseudo-particle
por: Nguyen, Quyen, et al.
Publicado: (2020)

Computational Fluid Dynamic Modeling and Simulation of Hydrocracking of Vacuum Gas Oil in a Fixed-Bed Reactor
por: Faraji, Davood, et al.
Publicado: (2020)

Mechanistic modeling and numerical simulation of axial flow catalytic reactor for naphtha reforming unit
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Theoretical investigations on the effect of absorbent type on carbon dioxide capture in hollow-fiber membrane contactors
por: Shirazian, Saeed, et al.
Publicado: (2020)

Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Modification of polyethersulfone membrane using MWCNT-NH(2) nanoparticles and its application in the separation of azeotropic solutions by means of pervaporation
por: Marjani, Azam, et al.
Publicado: (2020)

Effect of graphene oxide on modifying polyethersulfone membrane performance and its application in wastewater treatment
por: Marjani, Azam, et al.
Publicado: (2020)

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Computational modeling of drug separation from aqueous solutions using octanol organic solution in membranes
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Molecular investigation into the effect of carbon nanotubes interaction with CO(2) in molecular separation using microporous polymeric membranes
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Molecular separation of ibuprofen and 4-isobutylacetophenone using octanol organic solution by porous polymeric membranes
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Determination of the Gas–Oil Ratio below the Bubble Point Pressure Using the Adaptive Neuro-Fuzzy Inference System (ANFIS)
por: Ayoub Mohammed, Mohammed Abdalla, et al.
Publicado: (2022)

Intensification of CO(2) absorption using MDEA-based nanofluid in a hollow fibre membrane contactor
por: Cao, Yan, et al.
Publicado: (2021)

Poverty modeling in the Islamic Republic of Iran using an ANFIS optimized network with the differential evolution algorithm (ANFIS_DE)
por: Robati, Fateme Nazari, et al.
Publicado: (2020)

Numerical investigation of ibuprofen removal from pharmaceutical wastewater using adsorption process
por: Cao, Yan, et al.
Publicado: (2021)

Computational fluid dynamics comparison of prevalent liquid absorbents for the separation of SO(2) acidic pollutant inside a membrane contactor
por: Cao, Yan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_9ihftqn5p4k0sbovvnagafnlbt