Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product LabelingGolovko, V. A.,
Kroshchanka, A. A.,
Kovalev, M. V.,
Taberko, V. V.,
Ivaniuk, D.,
Головко, В. А.,
Крощенко, А. А.,
Ковалев, М. В.,
Таберко, В. В. neural networks and semantic
models. The system perform localization and recognition of images from a
Application of artificial neural networks for detection and localization of fires in imagesIn this paper, actual
neural network architectures are considered and tested to solve the problem
Modeling the Fear-Like State in Realistic Neural Network on the three-dimensional monoamines
model of affects inherited from works of Hugo Lövheim.
Внедрение инструментов искусственного интеллекта в методику преподавания китайского языкаThe article examines the resource capabilities of
artificial intelligence in the field of education
Convolutional neural network with semantically meaningful activations for speech analysis. The mathematical
apparatus of convolutional
neural networks (CNN) seems suitable
to implement this kind
Artificial Neural Network as Kernel of Image Analysis Software of an intelligent agent for image processing using hybrid of
Artificial Neural Network
and Bayesian
networks