Discrete weight neural network

Details Discrete weight neural network Discrete weight neural network

1988-04-11

1990-04-17

MacDonald, Allen

Boots, shoes, and leggings

364200, 3642766, 364807, G06F 1518

Patent

active

049186183

ABSTRACT:
A Neural Network using interconnecting weights each with two values, one of which is selected for use, can be taught to map a set of input vectors to a set of output vectors.
A set of input vectors is applied to the network and in response, a set of output vectors is produced by the network. The error is the difference between desired outputs and actual outputs.
The network is trained in the following manner. A set of input vectors is presented to the network, each vector being propogated forward through the network to produce an output vector. A set of error vectors is then presented to the network and propagated backwards. Each Tensor Weight Element includes a selective change means which accumulates particular information about the error.
After all the input vectors are presented, an update phase is initiated. During the update phase, in accordance with the results of the derived algorithm, the selective change means selects the other weight value if selecting the other weight value will decrease the total error. Only one such change is made per set.
After the update phase, if a selected value was changed, the entire process is repeated. When no values are switched, the network has adapted as well as it can, and the training is completed.

REFERENCES:
patent: 4450530 (1984-05-01), Llinas et al.
patent: 4752906 (1988-06-01), Kleinfeld
patent: 4773024 (1988-09-01), Faggin et al.

Affiliated with

Also associated with

Rating

Discrete weight neural network does not yet have a rating. At this time, there are no reviews or comments for this patent.

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

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1057538