Self-learning neural multi-layer network and learning method the

Details Self-learning neural multi-layer network and learning method the Self-learning neural multi-layer network and learning method the

1995-01-19

1995-09-12

MacDonald, Allen R.

395 23, 395 24, G06F 1518

Patent

active

054505283

ABSTRACT:
A self-learning multi layer neural network and the learning method thereof are characterized in that N-bit input data and M-bit desired output data are received, a weight value of each synapse is adjusted so as to produce output data corresponding to the input data, and self-learning is performed while proceeding to a next layer. Thus, it is not necessary for the user to input and adjust all the weight values of the respective synapse while the network performs self-learning and a desired function.

REFERENCES:
patent: 4912647 (1990-03-01), Wood
patent: 5003490 (1991-03-01), Casteloz et al.
patent: 5095443 (1992-03-01), Watanabe
A Self Learning Neural Network LSI Using Neuron MOSFET's Shibata et al. IEEE/2-4 Jun. 1992.
A 336-Neuron, 28K-Synapse, Self-Learning Neural Network Chip with Branch-Neuron-Unit Architecture Arima et al., IEEE Nov. 1991.
A Self-Learning NN Composed of 11J2 Digital Neurons in Wafer Scale LSI's Yasunaga et al., IEEE/18-21 Nov. 1991.
D. Park, "Performance Evaluation of Back-Propagation Networks Using Simulated Pattern Generating Processes", Chonbuk National University, Korea.

Affiliated with

Also associated with

Rating

Self-learning neural multi-layer network and learning method the does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Self-learning neural multi-layer network and learning method the, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-learning neural multi-layer network and learning method the will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-412692