1994-12-02
1997-09-09
Davis, George B.
395 25, 395 27, G06F 1518
Patent
active
056664680
ABSTRACT:
A neural network binary code recognizer for decoding n-bit binary code words. This apparatus includes inputs for inputting n signals into the recognizer, each of the n signals representing a bit value of an n-bit binary code word, which may or may not be corrupted. The apparatus also includes n amplifiers, each having an input for receiving a respective input signal. The amplifiers condition the respective input signals to generate respective output signals at one or more bit values of one or more corresponding predetermined valid n-bit binary code words. The apparatus further includes a device for approximating an image product for each of the one or more predetermined valid n-bit binary code words, each approximated image product comprising the product of an output signal from each amplifier in accordance with a respective predetermined valid n-bit binary coded word. Each approximated image product is fed back to an input of each amplifier in accordance with a bit value of one or more predetermined valid n-bit binary code words to enable an output signal of a respective amplifier to dynamically approach each bit value of the input n-bit binary code word.
REFERENCES:
patent: 4660166 (1987-04-01), Hopfield
patent: 4807168 (1989-02-01), Moopenn et al.
patent: 5023833 (1991-06-01), Baum et al.
patent: 5216750 (1993-06-01), Smith
patent: 5274743 (1993-12-01), Imondi et al.
patent: 5440670 (1995-08-01), Frazier
Jeffries, C. et al., "High Order Neural Network Models for Error Correcting Code", Conference Proceedings of the Society of Photooptical Instrumentation Engineers, Orlando, Fla., Mar. 1990.
Carlson, R. et al., "Efficient Recognition with High Order Neural Networks", Conference Proceedings of the Society of Photooptical Instrumentation Engineers-1469, Orlando, Fla., Apr. 1991.
Jeffries, C., "Code Recognition with Neural Network Dynamical Systems", Society for Industrial and Applied Mathematics, vol. 32, No. 4, pp. 636-651 Dec. 1990.
Jeffries et al., "Dense memory with High Order Neural Networks", Proceeding of the Twenty-first Southeastern Symposium on System Theory IEEE 1989.
Engel Stephen J.
Jeffries Clark
Anderson Terry J.
Davis George B.
Grumman Corporation
Hoch Jr. Karl J.
LandOfFree
Neural network binary code recognizer does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Neural network binary code recognizer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural network binary code recognizer will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-75399