Neural network using photoelectric substance

Electrical transmission or interconnection systems – Nonlinear reactor systems – Parametrons

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395 25, G06F 1546

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active

052488993

ABSTRACT:
A neural network, and a method of storing information and retrieving it by such network. The network comprises neurons, synapses and switches, and when required also rectifying means. The network is based on a substance which undergoes a reversible change from stable state A to stable state B, and this substance can also be changed from state A to another state C, which change is also reversible, where each change provides a measurable electrical pulse. The change of state is brought about by means of illumination for a predetermined period of time at a certain wavelength, it being possible to convert a desired part of the substance from one state to the other.

REFERENCES:
patent: 4660166 (1987-04-01), Hopfield
patent: 4874963 (1989-10-01), Alspector
patent: 4977540 (1990-12-01), Goodwin et al.
patent: 4994982 (1991-02-01), Duranton et al.
patent: 5130563 (1992-07-01), Nabet et al.
Bushor, "The Perceptron-An Experiment in Learning" Electronics, Jul. 1960, pp. 56-59.
Joseph, "On Predicting Perceptron Performance" IRE Center Convention, no date given.

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