Barometer neuron for a neural network

摘要

A "Barometer" Neuron enhances stability in a Neural Network System that, when used as a track-while-scan system, assigns sensor plots to predicted track positions in a plot/track association situation. The "Barometer" Neuron functions as a bench-mark or reference system node that equates a superimposed plot and track to a zero distance as a "perfect" pairing of plot and track which has a measured/desired level of inhibition. The "Barometer" Neuron responds to the System inputs, compares these inputs against the level of inhibition of the "perfect" pair, and generates a supplied excitation or inhibition output signal to the System which adjusts the System to a desired value at or near 1.0; this the reference level of inhibition of the "perfect" pair.