Learning system for a data processing apparatus

Details Learning system for a data processing apparatus Learning system for a data processing apparatus

1993-08-27

1995-04-25

MacDonald, Allen R.

G06F 1518

Patent

active

054106362

ABSTRACT:
A learning system is used in a data processing apparatus for learning an input pattern by obtaining an internal-state value necessary for realizing a desired data conversion by performing a pattern conversion defined by the internal-state value and calculating an output pattern corresponding to the input pattern. The learning system comprises a pattern presenting unit for presenting an input pattern group of the subject to be learned for pattern conversion, dividing the input pattern group of the subject to be learned into at least two sets, selecting one of the divided sets, presenting the input pattern group of the selected set to a pattern conversion unit and presenting an input pattern group belonging to all the sets presented up to the current point when the internal-state value to be converged is obtained in accordance with the presentation of the selected set, and an error value calculating unit for calculating an error value representing a magnitude of a non-consistency between an output pattern group outputted in accordance with the presentation and a teacher pattern group representing a pattern to be obtained by the said output pattern group.

REFERENCES:
Calibration of Neural Networks Using Genetic Algorithms, with Application to Optimal Path Planning; Smith et al; First Annual Workshop on Space Operations, Automation, & Robotics (SOAR '87); 5-7 Aug. 1987; pp. 519-526.
IEEE First International Conference on Neural Networks, vol. 2, Jun. 21, 1987, San Diego, Calif., "Exploration of Backward Error Propagation as a Self-Organizational Structure", Robert M. Kuczewski et al., pp. 89-96.
IEEE First International Conference on Neural Networks, vol. 2, Jun. 21, 1987, San Diego, Calif., "Learning Phenomena in Layered Neural Networks", Bernard Widrow et al., pp. 411-430.
Neural Networks, vol. 1, No. 4, 1988, Oxford, GB, "Generalization of Backpropagation with Application to a Recurrent Gas Market Model", Paul J. Werbos, pp. 339-356.

Affiliated with

Also associated with

Rating

Learning system for a data processing apparatus does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Learning system for a data processing apparatus, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Learning system for a data processing apparatus will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1573794