five major media types by the major neural network 42 analysis within the specific neural network differentiates a major media type selection into narrower categories as an example after determining that the incoming print medium is a u201c transparency type u201d a specific neural network is utilized to further differentiate the u201c transparency type u201d as either a u201c default type u201d or a u201c hp type u201d fig4 shows a media type table 52 listing exemplary specific media types for each of the five major media types on row 54 the architecture of the specific neural network is similar to the architecture of the major neural network 42 of fig3 specifically the specific neural network comprises an input layer at least one decision making layer and an output layer the number of nodes used in each layer as well as the number of layers and the connective weights associated with each node in the decision making layer of the specific neural network are dependent on the same factors identified when referring to the major neural network referring to fig2 the major neural network 42 is configured to receive frequency data from the controller 38 for a major media type determination after identifying the incoming medium 26 as one of the five major media types the.