Error rates were consistent across the range of considered enrichment, cooling time, and burnup values.
It is worth noting that the set of CP values would not change increasing the range of considered distances.
The results confirmed the presence of a complex heat transfer mechanism that gives rise to increased thermal diffusion phenomena, which intensify over the range of considered nanoparticle sizes.
Over fitting easily leads to the disturbance of the network and predictions often lie outside the range of considered variables in a multilayered network even if the input data are totally noise free [48].
From the above investigation, it may be concluded that the network accounts well for the variation in input variables and the developed ANN model can be successfully applied in predicting the FAME yield at conditions in the range of considered variables.
Moreover, we extend the range of considered residues far beyond previous analyzes that were looking in sequence proximity of the target sites only.
