A novel sensitivity analysis model of EANN for F-MWCNTs–Fe 3 O 4 /EG nanofluid thermal conductivity: outputs predicted analytically instead of numerically to more accuracy and less costs a novel sensitivity analysis model of EANN for F-MWCNTs–Fe3O4/E
The new approach of “enhanced artificial neural network” (EANN) is developed based on the new generated hybrid nanocomposite of F-MWCNTs–Fe 3 O 4 /EG which represents the Functionalized Multi Walled Carbon Nano Tubes together with Fe 3 O 4 nanoparticles, dispersed in ethylene glycol (EG) as the base fluid. Moreover, a new suitable sensitivity analysis is presented which involves a novel proposed method for the sensitivity analysis via ANNs. In this method, the sensitivity of the outputs predicted by means of an ANN to the inputs is calculated analytically rather than numerically.