"Barometer" neuron for a neural network

Details "Barometer" neuron for a neural network "Barometer" neuron for a neural network

1994-02-22

1996-07-09

Davis, George B.

395 21, 395 22, 395 23, G06G 712

Patent

active

055353037

ABSTRACT:
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.

REFERENCES:
patent: 4930099 (1990-05-01), Castelaz
Foo et al, "Integral Linear Programming Neural Networks for Job-Shop Scheduling", IEEE Int-Conf-on Neural Networks, Jul. 1988.
Foo et al "Stochastic Neural Networks for solving Job-Shop Scheduling: Part-Represention," IEEE Int-Conf-on Neural Networks, Jul. 1988.
Hopfield et al, "Neural Computing with Neural Circuits: A Model",
Aug. 1986.
Hopfield etal. ,"Neural Computing of Decision in Optimization Problems", Biol. Cybern. 52, 141-152, 1985.

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