... terms. The nonlinear dimensionless problem concerning the stretching/shrinking of a fin is numerically solved using the finite difference method (FDM), and the Levenberg–Marquardt method of backpropagation artificial neural network (LMM-BANN) has been used in this investigation. By varying...

... Artificial Neural Networks ,” Med. Phys. , 48 ( 5 ), pp. 2636 – 2645 . 10.1002/mp.14780 [19] Huang , Z. , and Ruan , X. , 2017 , “ Nanoparticle Embedded Double-Layer Coating for Daytime Radiative Cooling ,” Int. J. Heat Mass Transfer , 104 , pp. 890 – 896 . 10.1016...

... resolution is required. This is especially true if a manifold of emissivities is to be considered in a parametric study in which each value of surface emissivity requires a new ray-trace to determine the corresponding distribution factor matrix. Artificial neural networks (ANNs) offer an alternative approach...

... December 27, 2013; final manuscript received July 18, 2014; published online November 5, 2014. Assoc. Editor: Giulio Lorenzini. 27 12 2013 18 07 2014 Artificial neural network (ANN) modeling of heat transfer from horizontal tube bundles immersed in gas fluidized bed of large particles...

... to obtain the local time-averaged heat flux in the cavity. The measured values were used to train an artificial neural network (ANN) algorithm to predict the local heat transfer. The time-averaged local Nusselt number is needed to study local phenomena, e.g., condensation in windows. Optical heat transfer...

... by the sum of squares of residuals between calculated and observed temperatures and heat fluxes at the boundaries. To check the performance and accuracy in retrieval, a comparison is presented between four retrieval methods, viz. Levenberg-Marquardt algorithm, genetic algorithm, artificial neural network...