Neural net using capacitive structures connecting input lines and differentially sensed output line pairs
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Feb 16, 1993
Issued Date -
N/A
app pub date -
Dec 18, 1991
filing date -
Jun 15, 1989
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
Neural nets using capacitive structures are adapted for construction in complementary metal-oxide-semiconductor integrated-circuit technology. In each neural net layer synapse input signals are applied to the inverting and non-inverting input terminals of each of a plurality of differential-input non-linear amplifiers by a respective pair of capacitors, which non-linear amplifiers generate respective axon responses. In certain of these neural nets, arrangements are described that make the capacitive structures bilaterally responsive, so that back-propagation calculations can be performed to alter the relative values of capacitors in each pair thereof, which is done during training of certain of the neural nets described.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully