Neural network training tool

Details Neural network training tool Neural network training tool

1988-12-14

1990-03-27

Lastova, John R.

Boots, shoes, and leggings

364200, 3642213, 3642749, 364900, 3649162, 3649724, G06F 1518

Patent

active

049126474

ABSTRACT:
A method of training an artificial neural network uses a first computer configured as a plurality of interconnected neural units arranged in a network. A neural unit has a first subunit and a second subunit. The first subunit has first inputs and a corresponding first set of variables for operating upon the first inputs to provide a first output during a forward pass. The first set of variables can change in response to feedback representing differences between desired network outputs and actual network outputs. The second subunit has a plurality of second inputs, and a corresponding second set of variables for operating upon the second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs. The computer provides an activating variable representing the difference between current second output and previous second outputs. The activating variable is added to the feedback to accelerate the change of said first set of variables. A second computer is configured as a plurality of interconnected neural units arranged in a network. The network is functionally equivalent to the network of the first computer in a forward pass when provided with sets of values corresponding to each converged first set of variables of the first computer.

REFERENCES:
patent: 3533072 (1970-10-01), Clapper
patent: 3950733 (1976-04-01), Cooper
patent: 4254474 (1981-03-01), Cooper
patent: 4326259 (1982-04-01), Cooper
patent: 4660166 (1987-04-01), Hopfield
patent: 4807168 (1989-02-01), Moopenn et al.
Neural Networks, Part 2, Wasserman et al., IEEE Expert., Spring 1988, pp. 10-15.
"An Intro. to Computing with Neural Nets," Lippmann, IEEE ASSP Magazine, 4/87, pp. 4-22.
"Experiments on Learning by Back Propagation," Plant et al., Carnegie-Mellon Univ., Dept. Computer Science, pp. 1-47, 6-86.
"Back-Propagation Networks for Event-Driven Temporal Sequence Processing," Shimohara et al., IEEE International Conference on Neural Networks, 7-88, pp. 665-672.
"Increased Effectiveness of Learning by Local Neural Feedback," Sobajic et al., Abstract of First INNs Meeting, vol. 1, Supp. 1, 1988, p. 222.
"Accelerating the Convergence of the Back Propagation Method," Vogl et al., Bio. Cybern. 59, 257-263, Spring 1988.

Affiliated with

Also associated with

Rating

Neural network training tool does not yet have a rating. At this time, there are no reviews or comments for this patent.

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

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1655864