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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 63, 2013 - Issue 12
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Original Articles

Adaptive-Network-Based Fuzzy Inference System Analysis to Predict the Temperature and Flow Fields in a Lid-Driven Cavity

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Pages 906-920 | Received 09 Oct 2012, Accepted 17 Nov 2012, Published online: 28 Apr 2013

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Amirali Zandiyeh, Iman Behroyan, Mohammad Mahdi Noori & Meisam Babanezhad. (2023) Ant colony optimisation and fuzzy system for prediction of computational data of fluid flow in a bubble column reactor. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-15.
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Amir Mosavi, Shahaboddin Shamshirband, Ely Salwana, Kwok-wing Chau & Joseph H. M. Tah. (2019) Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning. Engineering Applications of Computational Fluid Mechanics 13:1, pages 482-492.
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Maryam Savari, Sajjad Rashidi, Ahmad Amiri, Mehdi Shanbedi, Saeed Zeinali Heris & S. N. Kazi. (2016) Hydrodynamic and thermal performance prediction of functionalized MWNT-based water nanofluids under the laminar flow regime using the adaptive neuro-fuzzy inference system. Numerical Heat Transfer, Part A: Applications 70:1, pages 103-116.
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Leila Jahanshaloo, Nor Azwadi Che Sidik, Shahin Salimi & Arman Safdari. (2014) The Use of Thermal Lattice Boltzmann Numerical Scheme for Particle-Laden Channel Flow with a Cavity. Numerical Heat Transfer, Part A: Applications 66:4, pages 433-448.
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Iman Behroyan, Vyacheslav Petrenko, Fariza Tebueva & Meisam Babanezhad. (2022) Investigation of Input Variables Influence in Patterns Learning of Fluid Flow Behavior Using Fuzzy Differential Evolution. Arabian Journal for Science and Engineering 47:12, pages 16409-16419.
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Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani & Saeed Shirazian. (2021) Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe. Scientific Reports 11:1.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi & Saeed Shirazian. (2020) Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature. Scientific Reports 10:1.
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Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab & Saeed Shirazian. (2020) Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer. Scientific Reports 10:1.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani & Saeed Shirazian. (2020) Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow. Scientific Reports 10:1.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani & Saeed Shirazian. (2020) gbell Learning function along with Fuzzy Mechanism in Prediction of Two-Phase Flow. ACS Omega 5:40, pages 25882-25890.
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Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani & Saeed Shirazian. (2020) Simulation of liquid flow with a combination artificial intelligence flow field and Adams–Bashforth method. Scientific Reports 10:1.
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Meisam Babanezhad, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani & Saeed Shirazian. (2020) Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS). Scientific Reports 10:1.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani & Saeed Shirazian. (2020) Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods. Scientific Reports 10:1.
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Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani & Saeed Shirazian. (2020) ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow. Scientific Reports 10:1.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi & Saeed Shirazian. (2020) Developing Intelligent Algorithm as a Machine Learning Overview over the Big Data Generated by Euler–Euler Method To Simulate Bubble Column Reactor Hydrodynamics. ACS Omega 5:32, pages 20558-20566.
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Meisam Babanezhad, Ali Taghvaie Nakhjiri & Saeed Shirazian. (2020) 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. ACS Omega 5:26, pages 16284-16291.
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Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi & Saeed Shirazian. (2019) Simulation of a Bubble-Column Reactor by Three-Dimensional CFD: Multidimension- and Function-Adaptive Network-Based Fuzzy Inference System. International Journal of Fuzzy Systems 22:2, pages 477-490.
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Panpan Xu, Meisam Babanezhad, Hooman Yarmand & Azam Marjani. (2019) Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods. Journal of Visualization 23:1, pages 97-110.
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Samyar Zabihi, Mashallah Rezakazemi, S. H. Gholizadeh Moghaddam & Saeed Shirazian. (2019) Development of Hybrid ANFIS–CFD Model for Design and Optimization of Membrane Separation of Benzoic Acid. Journal of Non-Equilibrium Thermodynamics 44:3, pages 285-293.
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Meisam Babanezhad, Mashallah Rezakazemi, Nasibeh Hajilary & Saeed Shirazian. (2018) Liquid‐phase chemical reactors: Development of 3D hybrid model based on CFD‐adaptive network‐based fuzzy inference system. The Canadian Journal of Chemical Engineering 97:S1, pages 1676-1684.
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Yaming Zhuang, Daoyin Liu, Xiaoping Chen, Jiliang Ma, Jie Xiong & Cai Liang. (2018) Statistic model for predicting cluster movement in circulating fluidized bed (CFB) risers. Journal of the Taiwan Institute of Chemical Engineers 91, pages 200-212.
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Yi Yang, Yanhua Chen, Yachen Wang, Caihong Li & Lian Li. (2016) Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting. Applied Soft Computing 49, pages 663-675.
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Mohsen Marani Barzani, Erfan Zalnezhad, Ahmed A.D. Sarhan, Saeed Farahany & Singh Ramesh. (2015) Fuzzy logic based model for predicting surface roughness of machined Al–Si–Cu–Fe die casting alloy using different additives-turning. Measurement 61, pages 150-161.
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M. Pourtousi, Mohammadjavad Zeinali, P. Ganesan & J. N. Sahu. (2015) Prediction of multiphase flow pattern inside a 3D bubble column reactor using a combination of CFD and ANFIS. RSC Advances 5:104, pages 85652-85672.
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Mohammadjavad Zeinali, Saiful Amri Mazlan, Abdul Yasser Abd Fatah & Hairi Zamzuri. (2013) A phenomenological dynamic model of a magnetorheological damper using a neuro-fuzzy system. Smart Materials and Structures 22:12, pages 125013.
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