ARTIFICIAL NEURAL NETWORK FAULT MODEL STUDY
Abstract
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.
About the Authors
Vladimir A. Fatkhi
Don State Technical University.
Russian Federation
Russian Federation
Daniil V. Marshakov
Don State Technical University.
Russian Federation
Russian Federation
Vasily V. Galushka
Don State Technical University.
Russian Federation
Russian Federation
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Review
For citations:
Fatkhi V.A., Marshakov D.V., Galushka V.V. ARTIFICIAL NEURAL NETWORK FAULT MODEL STUDY. Vestnik of Don State Technical University. 2012;12(3):65-71. (In Russ.)
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