1. A method of tuning the output of a sensor array for a vehicle seat occupancy sensing system that is used with a neural net for occupancy classification, said method including the steps of: pressing a series of seat cushion body pressure distribution forms in a series of predetermined seating positions into a particular vehicle seat to produce a series of representative sensor response patterns from the sensor array; comparing each sensor response pattern through the neural net to determine if any of the sensor response patterns are indistinguishable from one another; determining which sensors were deflected and the amount of deflection in those sensors for the indistinguishable sensor response patterns; adjusting the biasing of said sensors to cause said indistinguishable patterns to diverge and be distinguishable by the neural net; and repeating the above steps until the senor response patterns are distinguishable from one another.