Prediction of formation of polycyclic aromatic hydrocarbon (PAHs) on sediment of Caspian Sea using artificial neural networks

In this article the amount of polycyclic aromatic hydrocarbon (PAHs) on the sediment of Caspian Sea predicted by artificial neural networks multi-layer perceptron (MLP) and generalized regression (GRNN) models. PAH is a most important pollutant in a marine environment derived from an anthropogenic and natural source. This component is mutagenic and Carcinogenic extremely. In this investigation, a multi-layer perceptron and Generalized regression...