Structural and functional organization of self-modifying, self-learning neural network
Автор: Malyavko Alexander
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Информатика, вычислительная техника и управление
Статья в выпуске: 2-3 т.18, 2016 года.
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One of the possible approaches to the creation of artificial neural network capable to some degree mimic the functioning of the entire brain, rather than its individual features, such as image recognition and speech recognition. Such a network should be able to educate themselves and modifying self during operation. It offers the possibility to structure the growing self-organizing neural networks and algorithms of its formation and initial setup.
Neural network, block-layer structure, self-learning, self-modification
Короткий адрес: https://sciup.org/148204596
IDR: 148204596