Neural network-type data processing system recognizing a predete

Details Neural network-type data processing system recognizing a predete Neural network-type data processing system recognizing a predete

1993-06-17

1995-02-28

Downs, Robert W.

395 21, G06F 1518

Patent

active

053945107

ABSTRACT:
A data processing system of the neural network type. The system recognizes a predetermined shape by providing some connections that are inhibitory between a plurality of neurons in a neural layer of the neural network. If data is found in the inhibitory area, it makes it harder for the neurons in the correct area to fire. Only when the neurons in the correct area fire is the predetermined shape recognized.

REFERENCES:
Tenario, Manoel F. and Hughes, Craig S., "Real Time Noisy Image Segmentation Using An Artificial Neural Network Model", IEEE, First International Conference on Neural Networks, San Diego, Calif., Jun. 21-24, 1987, vol. IV, pp. 357-363.
Kohonen, T., "An Introduction to Neural Computing", Neural Netwrks vol. 1, 1988, pp. 3-16.
Lippmann, R. P., "An Introduction to Computing with Neural Nets", IEEE ASSP Magazine, Apr. 1987, pp. 4-21.
Simpson, P. K., "Artificial Neural Systems", Pergamon Press, 1990, pp. 85-90.
Caudill, M., "Neural Networks Primes Part IV", AI Expert, Aug. 1988, pp. 61-67.
Moopenn et al., "Error Correction and Asymmetry in a Binary Memory Matrix", American Institute of Physics Conf. Proc., 1986, 315-320.
Kohonen et al., "Representation of Sensory Information in Self-Organizing Feature Maps", American Institute of Physics Conf. Proc., 1986, 271-276.
Kohonen, T. "Self-Organization and Associative Memory", Springer-Verlag, 1988, 185-209.
Fukushuma, K., "Neocognitron: A hierarchical Network for Visual Pattern Recognition", Fuzzy Computing, 1988, 53-69.

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