Artificial neural network implementation

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United States of America Patent

PATENT NO 4951239
SERIAL NO

07263455

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Abstract

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An artificial neural network having analog circuits for simultaneous parallel processing using individually variable synaptic input weights. The processing is implemented with a circuit adapted to vary the weight, which may be stored in a metal oxide field effect transistor, for teaching the network by addressing from outside the network or for Hebbian or delta rule learning by the network itself.

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UNITED STATES OF AMERICA THE AS REPRESENTED BY THE SECRETARY OF THE NAVYWASHINGTON DC

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Andes, David K Ridgecrest, CA 4 117
Licklider, Robert A Ridgecrest, CA 5 117
Swenson, Richard M Ridgecrest, CA 10 161
Witcher, Donald H Ridgecrest, CA 4 117

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