Training method for neural network

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395 21, 395 20, 395 24, G06E 100, G06E 300

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active

057781524

ABSTRACT:
A neural network designed to recognize a particular character is supplied with initial tap weights for a first hidden node which are an image of the character to be recognized. The additive inverse of this set of weights is used as the tap weights for a second hidden node. A third node, if used, is initialized with random noise. The network is then trained with back propagation.

REFERENCES:
patent: 5546503 (1996-08-01), Abe et al.
Khotanzad et al, "Distortion invariant character recognition by a multi-layer perceptron and back-propagation learning"; IEEE International conference on neural networks, pp. 625-632 vol. 1, 24-27, Jul. 1988.

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