Application of the neural network for recognition of artificially generated images

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This article investigated the use of a neural network with back propagation for pattern recognition. The basic technique of neural network training is revealed. An artificial system was created to generate values similar to standard, rotated at different angles. An experiment was conducted during which it was established that a neural network can be trained on artificial examples (images), and then used for analysis of reference values.

Pattern recognition, neural network, recognition, noisy, generated image, training on noisy samples, reference values

Короткий адрес: https://sciup.org/147155300

IDR: 147155300   |   DOI: 10.14529/ctcr170315

Список литературы Application of the neural network for recognition of artificially generated images

  • Хайкин, С. Нейронные сети: полный курс/С. Хайкин; пер. с англ. Н.Н. Куссуль, А.Ю. Шелестова. -М.: Вильямс, 2006. -1103 c.
  • Ширяев, В.И. Финансовые рынки, нейронные сети, хаос и нелинейная динамика/В.И. Ширяев. -М.: URSS: Либроком, 2013. -228 с.
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