Recognition of Traffic Signs Applying Neural Network

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Artificial intelligence is one of the most dynamically developing areas of science today. Although it is not yet an integral part of our lives to use artificial intelligence solutions, it can be seen in terms of development, that it will become available to everyone in the coming decades, and not be exclusive for the richest. An important part of artificial intelligence research are the so-called soft calculation methods, the most important of which are fuzzy logic, genetic algorithms and neural networks. In this article, the authors present a method of identifying certain traffic signs with the help of the neural network.

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  • [1] Altrichter M. Horváth G. et. al.: Neurális hálózatok. Hungarian Edition Panem Könyvkiadó Kft. Budapest 2006.

  • [2] Krizhevsky A. Hinton G.: Learning multiple layers of features from tiny images.” Master’s Thesis. University of Toronto Toronto Canada 2009.

  • [3] Nair V. Hinton G. E.: Rectified linear units improve restricted boltzmann machines. In Proc. 27th International Conference on Machine Learning 2010.

  • [4] Krizhevsky A. I. Sutskever et. al.: ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems. Vol 25 2012.

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