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На пути к созданию общего искусственного интеллекта: анализ проблем психического уровня of decoding and comparison of information flows of different neural groups (cogs). It is shown
Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Networks algorithms we consider a weight discretization problem for trained neural networks. We show
APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN CHEMICAL PROBLEMSThe article is devoted to the Artificial Neural Networks and and their application in chemistry
Methodics and tools of cough sound processing on basic of neural net based on a deep neural network. Four types of machine learning and the use of convolutional neural
Assessment of technical condition of polyurethane foam thermal insulation pipelines of heating networks using neural network technologies of research using acoustic methods, using neural network technologies to process acoustic signals. The article
Neural network model for detecting network scanning attacks to use a trained neural network as a tool for detecting network scanning attacks. The implementation
Классификация режимов многофазных течений методами нейросетевого анализа the type of flow using artificial convolutional neural networks. This approach allows you to get rid
Artificial neural networks is
to use an artificial neural network (ANN), a computing system that can learn on its own.
Neural networks hardware-based implementationThe paper deals with the problem of implementing hardware based neural networks, describes
Neural networks: forecasting economic time series in this paper. The use of Recurrent Neural Networks (RNNs) and their variants is described.
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