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
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Title
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
Authors
Keywords
Nanofluid, Ethylene glycol, Thermal conductivity ratio, Least squares support vector machine
Journal
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-02-05
DOI
10.1007/s10973-018-7035-z
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