A hybrid genetic–BP algorithm approach for thermal conductivity modeling of nanofluid containing silver nanoparticles coated with PVP

Since nanoparticles play a significant role in increasing the thermal conductivity of fluids, the present study aims to predict the thermal conductivity of silver nanofluid coated with polyvinylpyrrolidone (PVP) by the combinational model of multilayer perceptron artificial neural network and geneti...

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Veröffentlicht in:	Journal of thermal analysis and calorimetry 2021-10, Vol.146 (1), p.17-30
Hauptverfasser:	Paknezhad, B., Vakili, M., Bozorgi, M., Hajialibabaie, M., Yahyaei, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical Chemistry Artificial neural networks Bias Chemistry Chemistry and Materials Science Computational fluid dynamics Deionization Errors Genetic algorithms Heat conductivity Heat transfer Inorganic Chemistry Machine learning Measurement Science and Instrumentation Model accuracy Modelling Multilayer perceptrons Nanofluids Nanoparticles Neural networks Neurons Optimization Physical Chemistry Polymer Sciences Polyvinylpyrrolidone Povidone Silver Thermal conductivity
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