Application of the Neural Network for Recognition of Artificially Generated Images
DOI:
https://doi.org/10.14529/ctcr170315Keywords:
pattern recognition, neural network, recognition, noisy, generated image, training on noisy samples, reference valuesAbstract
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.
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