Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network - Hemmat Esfe, Mohammad; Bahiraei, Mehdi; Mahian, Omid (Powder technology, 2018)
Keywords: Algorithms; CuO–ethylene glycol nanofluid; cupric oxide; data collection; Error detection; Ethylene; Ethylene glycol; Fluid dynamics; Genetic algorithm; Genetic algorithms; homogenization; Mathematical models; Nanofluids; Neural network; Neural networks; neurons; physical models; powders; Sensitivity analysis; temperature; Temperature effects; ultrasonic treatment; Viscosity; CuO–ethylene glycol nanofluid; Viscosity; Sensitivity analysis; Neural network; Genetic algorithm