Nonrecurrent binary code recognizer

Details Nonrecurrent binary code recognizer Nonrecurrent binary code recognizer

1997-06-26

1999-02-23

Davis, George B.

Data processing: artificial intelligence

Neural network

Structure

706 22, 706 26, 706 36, 706 38, G06F 1518

Patent

active

058754393

ABSTRACT:
A nonrecurrent version of the Neural Network Binary Code Recognizer is disclosed. This Nonrecurrent Binary Code Recognizer, which decodes an input vector of n analog components into a decoded binary word of n bits, comprises an analog-to-digital converter, an inverter circuit, a digital summing circuit and a comparator circuit.

REFERENCES:
patent: 3742144 (1973-06-01), Brandenburg et al.
patent: 4276647 (1981-06-01), Thacker et al.
patent: 4648091 (1987-03-01), Gajjar
patent: 4811361 (1989-03-01), Bacou et al.
patent: 4980897 (1990-12-01), Decker et al.
patent: 5081626 (1992-01-01), Scott
patent: 5195098 (1993-03-01), Johnson et al.
patent: 5233629 (1993-08-01), Paik et al.
patent: 5278845 (1994-01-01), Reintjes et al.
patent: 5448592 (1995-09-01), Williams et al.
patent: 5473731 (1995-12-01), Seligson
patent: 5504758 (1996-04-01), Inoue et al.
Jeffries, C. et al., "High Order Neural Network Models for Error Correcting Code", Conference Proceedings of the Society of Photooptical Instrumentation Engineers, Orlando, Florida, Mar. 1990.
Carlson, R. et al. "Efficient Recognition with High Order Neural Networks", Conference Proceedings of the Society of Photooptical Instrumentation Engineers-1469, Orlando, Florida, 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.

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