Researching a learning algorithms efficiency for colorization by using a multilayer perceptron

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The article describes the software for grayscale images colorization by using a multilayer perceptron. The system has been developed by RAD (Rapid Application Development) methodology. The colorization is performed by multilayer perceptron learned by the back-propagation algorithm, the back-propagation algorithm with a moment, the back-propagation algorithm with a moment and dynamic learning coefficient. The article presents the results of the research representing the quality of image colorization.

Automated system, image colorization, machine learning, neural networks, artificial intelligence, multilayer perceptron, back-propagation algorithm, back-propagation algorithm with a moment, back-propagation algorithm with a moment and dynamic learning coefficient

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Короткий адрес: https://sciup.org/148204769

IDR: 148204769

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