Browsing by Subject "artificial neural networks"
Now showing items 1-3 of 3
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Comparison of Multi-Layer Perceptron and Cascade Feed-Forward Neural Network for Head-Related Transfer Function Interpolation
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)Acoustic Virtual Reality (AVR) is a popular field of today's research, and the technologies it explores allow users to experience the virtual reality even more interactively, creating a sense of being truly involved into ... -
Comparison of neural networks and regression time series when predicting the export development from the USA to PRC
(International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering ‘2019“, 2019)Purpose – artificial neural networks are compared with mixed conclusions in terms of forecasting performance. The most researches indicate that deep-learning models are better than traditional statistical or mathematical ... -
Neural prediction of the pull-off adhesion of the concrete layers in floors on the basis of nondestructive tests
(Procedia Engineering, 2013)This paper presents the application of artificial neural networks to the identification of the pull-off adhesion of the concrete layers in floors on the basis of parameters evaluated on the structural layer surface by the ...