Artificial neural network fault model study
Автор: Fatkhi Vladimir A., Marshakov Daniil V., Galushka Vasily V.
Журнал: Вестник Донского государственного технического университета @vestnik-donstu
Рубрика: Технические науки
Статья в выпуске: 3 (64) т.12, 2012 года.
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Fault models of the artificial neural network hardware implementations are considered. The development of the neuroelement fault classes through the introduction of the additional neuron fault model class causing certain level signals appearance on their output in the interval (0,1) is offered. The experimental research of the introduced fault class impact on the artificial neural network operability is done.
Artificial neural network, hardware implementation, fault models, operability
Короткий адрес: https://sciup.org/14249842
IDR: 14249842
