The formalization of a mathematical model of a gate with a trained neural network hidden layer
- 1 Post-graduate Student, Department of Electronics and Biomedical Technology, Ufa State Aviation Technical University
- 2 Dr.Sc. (Eng.), Professor, Head of Department of Electronics and Biomedical Technology, Ufa State Aviation Technical University
Keywords:
gate neural networklearning logical basisBoolean algebran-dimensional hypercubehardware neural networkPLD
Abstract
The influence of the technical environment on the neuron model is considered. The model of the learning Boolean basis is given. A model of a gate neural network with a trained hidden layer is being developed. The method of its integration into the hardware neural network architecture is described. The minimum number of elements of the hidden layer required for an arbitrary mapping in an n-dimensional Boolean space is obtained.
How to cite
Михайлюк Т.Е., Жернаков С.В. Формализация математической модели вентильной нейронной сети с обучаемым скрытым слоем // Нейрокомпьютеры: разработка, применение. 2018. № 4. С. 18–23.
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