Learning methods in binary systems

Details Learning methods in binary systems Learning methods in binary systems

1996-11-06

2000-05-09

Downs, Robert W.

Data processing: artificial intelligence

Neural network

Learning method

706 41, G06F 1518

Patent

active

060616733

ABSTRACT:
This invention provides learning methods in binary systems by modifying the connected states of the circuit among each basic binary gate in binary combined logical and sequential circuits composed with basic binary gates such as AND, OR, NOT, NAND, NOR and EXOR gates. As the pseudo-neuron theory and the pseudo-potential energy theory are skillfully introduced, it is possible to attain specified learning effects during a very short learning period. Further, as implementation of the learning methods into the conventional computer and other digital equipment is simple, it is expected to be used widely in wide application, for example, such as in image processing, voice processing or natural word processing.

REFERENCES:
patent: 5212765 (1993-05-01), Skeirik
patent: 5226092 (1993-07-01), Chen
patent: 5333241 (1994-07-01), Furuta et al.
patent: 5696883 (1997-12-01), Arima

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