Patent
1993-12-22
1996-07-30
Davis, George B.
395 22, 395 27, G06F 752, G06F 1540
Patent
active
055420540
ABSTRACT:
An artificial neuron for use in a neural processing network comprises a plurality of input signal lines, an arrangement for computing a nonlinear function of the sum of the inputs multiplied by associated weights, and a saturating delta-sigma modulator which oversamples the computed value and produces an encoded neuron output signal. Conversion of signals for use by these neurons preferably is performed by delta-sigma modulators at the inputs to the neurons, which may be incorporated directly into sensors. Processing of the output signals from the neuron includes low-pass filtering and decimation. The present invention may be used in many diverse areas. For example, arrays of sensors with delta signal modulators may be coupled with a network of the neurons to form an intelligent vision system. Linear signal processing, both conventional and adaptive, can be done by a simple neuronal system that operates linearly.
REFERENCES:
patent: 3293609 (1966-12-01), Martin
patent: 3435422 (1969-03-01), Gerhardt et al.
patent: 3601811 (1971-08-01), Yoshino
patent: 4891782 (1990-01-01), Johnson
patent: 4994982 (1991-02-01), Duranton et al.
patent: 5003490 (1991-03-01), Castelaz et al.
patent: 5091864 (1992-02-01), Baji et al.
patent: 5093900 (1992-03-01), Graf
patent: 5097141 (1992-03-01), Leivian et al.
patent: 5142666 (1992-08-01), Yoshizawa et al.
patent: 5151970 (1992-09-01), Engeler
patent: 5165010 (1992-11-01), Masuda et al.
patent: 5170071 (1992-12-01), Shreve
patent: 5175798 (1992-12-01), Taylor et al.
patent: 5195171 (1993-03-01), Takatori et al.
patent: 5211622 (1993-05-01), Liboff et al.
patent: 5262968 (1993-11-01), Coffield
patent: 5359700 (1994-10-01), Seligson
patent: 5379252 (1995-01-01), Yamamoto
patent: 5381804 (1995-01-01), Shambroom
Temes et al, "A Tutorial Discussion of the oversampling method for A/D and D/A conversion", IEEE Inter. symposium on circits and systems, 1990.
Widrow, Bernard, et al., "30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation", Proceedings of the IEEE, vol. 78, No. 9, Sep. 1990.
Park, Ph.D., Sangil, "Principles of Sigma-Delta Modulation for Analog-to-Digital Converters," Apr. 8, 1990, Motorola, Inc.
Candy, James C., et al., "Oversampling Delta-Sigma Data Converters Theory, Design, and Simulation," The Institute of Electrical and Electronics Engineers, Inc., New York.
Watanabe, Takao, et al., "A Single 1.5-V Digital Chip for a 10.sup.6 Synapse Neural Network," IEEE Transactions on Neural Networks, vol. 4, No. 3, May 1993.
Widrow, Bernard, et al., "The Adaptive Linear Combiner," Adaptive Signal Processing, 1985, Chapter 2, pp. 15-26.
Rabiner, Lawrence R., et al., "Theory and Application of Digital Signal Processing," Prentice-Hall, Inc., Englewood Cliffs, New Jersey, pp. 326-329.
Oppenheim, Alan V., et al., "Digital Signal Processing," Prentice-Hall, Inc., Englewood Cliffs, New Jersey, pp. 413-432.
Gorse, D., et al., "On the Equivalence and Properties of Noisy Neural and Probabilistic Ram Nets," Physics Letters A, vol. 131, No. 6, pp. 326-332, Aug. 29, 1988.
Shandle, Jack, "Neural Networks are Ready for Prime Time," Electronic Design, Feb. 18, 1993, pp. 51-58.
Lippmann, Richard P., "An Introduction to Computing with Neural Nets,"IEEE ASSP Magazine, Apr. 1987.
Duranton, et al., "The LNeuro Chip: A Digital VLSI On-Chip Learning Mechanism", figure 1, Int'l Neural Network Conference, Jul. 9-13, 1990.
Duranton et al, "A general purpose digital architecture for Neural Network Simulations", 1st IEE Inter. Conf. on Artificial Neural Networks, 16-18 Oct. 1989.
Davis George B.
Heim Michael F.
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