Classification method implemented in a layered neural network fo

Details Classification method implemented in a layered neural network fo Classification method implemented in a layered neural network fo

1991-02-08

1993-06-15

Boudreau, Leo H.

Image analysis

Histogram processing

For setting a threshold

395 23, G06K 900

Patent

active

052206181

ABSTRACT:
Classification method implemented in a layered neural network, comprising learning steps during which at least one layer is constructed by the addition of the successive neurons necessary for operating, by successive dichotomies, a classification of examples distributed over classes. In order to create at least one layer starting with a group of examples distributed over more than two classes, each successive neuron tends to distinguish its input data according to two predetermined sub-groups of classes peculiar to the said neuron according to a principal components analysis of the distribution of the said input data subjected to the learning of the neuron of the layer in question.

REFERENCES:
patent: 4682365 (1987-07-01), Orita et al.
patent: 5060278 (1991-10-01), Fukumizu
R. P. Lippmann, "An Introduction to Computing with Neural Nets", IEEE ASSP Magazine, Apr. 1987, pp. 4-22.
S. I. Gallant, "Optimal Linear Discriminants", IEEE proc. 8th Conf. on Pattern Recognition, Paris (1986), pp. 849-852.
M. Mezard & J. P. Nadal, "Learning in Feedforward Layered Networks: the tiling algorithm", J. Phys. A: Math. Gen. 22 (1989), pp. 2191-2203.
Koutsougeras et al "Training of a Neural Network For Pattern Classification Based On An Entropy Measure", IEEE Conf on Neural Networks, San Diego, CA (1988) pp. I-247-I-254.

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