Neuromorphic learning networks

Details Neuromorphic learning networks Neuromorphic learning networks

G - Physics

06

G

354/221

G06G 7/12 (2006.01) G06N 3/063 (2006.01)

Patent

CA 1311562

Abstract of the Disclosure 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 symmetrically connected by means of adjustable-weight synapse pairs. The synapses comprise the source-drain circuits of a plurality of paralleled FET's 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 neuron 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.

587791

Affiliated with

Also associated with

Rating

Neuromorphic learning networks does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Neuromorphic learning networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neuromorphic learning networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFCA-PAI-O-1225863