Patent №
US 4,874,963
Granted
1989-10-17
Filed 1988
Owner
BELL COMMUNICATIONS RESEARCH, INC., A CORP. OF DE
Lab
—
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
07155150
A neuron network which achieves learning by means of a modified Boltzmann algorithm. The network may comprise interconnected input, hidden and output layers of neurons, the neurons being "on-off" or threshold electronic devices which are symmetrically connected by means of adjustable-weight synapse pairs. The synapses comprise the source-drain circuits of a plurality of paralleled FETs which differ in resistance or conductance in a binary sequence. The synapses are controlled by the output of an Up-Down counter, the reading of which is controlled by the results of a correlation of the states of the two neurons connected by the synapse pairs following the application of a set of plus and minus training signals to selected neurons of said network. A noise generator comprising a thermal noise source is provided for each neuron for the purpose of simulated annealing of the network.
AI classification
Ownership
BELL COMMUNICATIONS RESEARCH, INC., A CORP. OF DE
assignment · 48610509
Assignors
ALSPECTOR, JOSHUA
On an employer assignment, the assignors are typically the inventors.