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-Reference-Cited by-同舟云学术

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

Published:2020-06-23 Issue:26 Volume:5 Page:16284-16291
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Babanezhad Meisam¹²,Nakhjiri Ali Taghvaie³^ORCID,Shirazian Saeed⁴⁵^ORCID

Affiliation:

1. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

2. Faculty of Electrical - Electronic Engineering, Duy Tan University, Da Nang 550000, Vietnam

3. Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran

4. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

5. Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c02117

Reference74 articles.

1. The important role of local dispersed phase hold-ups for the calculation of three-phase bubble columns

2. Design parameters estimations for bubble column reactors

3. Maximum stable bubble size and gas holdup in high-pressure slurry bubble columns

4. Heat Transfer and Hydrodynamics in a Three-Phase Slurry Bubble Column

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Evaluation of Benzyl Alcohol Oxidation with tert-Butyl Hydroperoxide to Benzaldehyde Using the Response Surface Methodology, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference System Model;ACS Omega;2024-07-29

2. Comparative Analysis Various Membership Functions Based on Neural Networks for Prediction of Students Graduation;2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT);2024-02-28

3. Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke;MethodsX;2023-12

4. Experimental study and ANFIS modelling of the thermophysical properties and efficacy of GNP-Al2O3 hybrid nanofluids of different concentrations and temperatures;SN Applied Sciences;2023-11-15

5. Optimisation of artificial intelligence models and response surface methodology for predicting viscosity and relative viscosity of GNP-alumina hybrid nanofluid: incorporating the effects of mixing ratio and temperature;The Journal of Supercomputing;2023-09-21