The perceptron Training Process Optimization for Recognizing Graphic Objects in an Image

The training process of a single-layer perceptron to recognize graphic objects on a pre-segmented image is considered and proposals for the most saving neural network structure are formulated. To describe the images, descriptors invariant to the full group of affine transformations were used, their...

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Vydané v:	Systems of Signals Generating and Processing in the Field of on Board Communications (Online) s. 1 - 4
Hlavní autori:	Yakubovich, A. N., Shashina, E. V., Yakubovich, I. A.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.03.2022
Predmet:	Character recognition Complexity theory effective perceptron training parameters error back-propagation algorithm Graphics Image recognition neural network Neurons optimal perceptron structure Safety Training training quality
ISSN:	2768-0118
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