Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids-Reference-Cited by-同舟云学术

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Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids

Published:2018-11-25 Issue:1 Volume:13 Page:26-39
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Baghban Alireza¹,Jalali Ali²,Shafiee Mojtaba³,Ahmadi Mohammad Hossein⁴,Chau Kwok-wing⁵

Affiliation:

1. Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Mahshahr, Iran

2. Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

3. Department of Chemical Engineering, Jundi-Shapur University of Technology, Dezful, Iran

4. Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran

5. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People's Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://tandfonline.com/doi/pdf/10.1080/19942060.2018.1542345

Reference71 articles.

1. Measurement and Artificial Neural Network Modeling of Electrical Conductivity of CuO/Glycerol Nanofluids at Various Thermal and Concentration Conditions

2. Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine

3. Connectionist intelligent model estimates output power and torque of stirling engine

4. Thermal conductivity ratio prediction of Al2O3/water nanofluid by applying connectionist methods

5. Prediction of power in solar stirling heat engine by using neural network based on hybrid genetic algorithm and particle swarm optimization

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