Neural network using random binary code

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364900, 3649724, 307201, 365 45, 365 49, G11C 2700, G06F 1300, H03K 1908

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049966480

ABSTRACT:
Long and short term memory equations for neural networks are implemented by means of exchange of signals which carry information in the form of both binary and continuously modulated energy emissions. In one embodiment, array of parallel processors exhibits behavior of cooperative-competitive neural networks. Parallel bus interconnections and digital and analog processing of analog information contained in the exchanged energy emissions are employed with generally local synchronization of the processors. Energy emission and detection is modulated as a function of a random code.

REFERENCES:
patent: 3979582 (1976-09-01), Mims
patent: 4747069 (1988-03-01), Grinberg
patent: 4809193 (1989-02-01), Jourjine
Electronic Engineering Times Feb. 12, 1990, "Digital Neurons Mimic Analog", by Colin Johnson.
EDN Magazine Article-"Data Transformation Explains the Basis of Neural Networks", by D. Conner 5/12/1988 pp. 138-144.
IEEE Spectrum-Neurocomputing Picking the Human Brain by R. Hecht-Nielson 5/88. pp. 36-41.
DARPA Neural Network Study, Oct. 1987-Feb. 1988, MIT Lincoln Laboratory, Appendix A, pp. 35-51.
L. A. Akers et al., "A Limited-Interconnect Synthetic Neural IC", DARPA Neural Network Study, Oct. 1987-Feb. 1988, MIT Lincoln Laboratory, pp. II-151-II-152.

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