Predicting thermal conductivity and dynamic viscosity of nanofluid by employment of Support Vector Machines: A review
Author:
Funder
University of Hail
Publisher
Elsevier BV
Subject
General Energy
Reference82 articles.
1. An experimental investigation of thermal conductivity and dynamic viscosity of Al2O3-ZnO-Fe3O4 ternary hybrid nanofluid and development of machine learning model;Adun;Powder Technol.,2021
2. Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach;Ahmadi;J. Taiwan Inst. Chem. Eng.,2018
3. A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach;Ahmadi;J. Therm. Anal. Calorim.,2019
4. Connectionist intelligent model estimates output power and torque of stirling engine;Ahmadi;Renew. Sustain. Energy Rev.,2015
5. Thermal conductivity ratio prediction of Al2O3/water nanofluid by applying connectionist methods;Ahmadi;Colloids Surf. A,2018
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