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Neural Network Models of Time Series of Network Traffic IntensitiesThe paper presents the results of building neural network predictive models of the occupancy

Deep Neural Networks for Emotion Recognition cell were used as models of deep neural networks. On their basis, an ensemble of neural networks

Training neural network for pattern recognitionThe article presents the problems connected with the subjects of neural networks: biological

Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems mathematical model of this control object. In the present study an artificial neural network is used

Convolutional Neural Network Based Deep Neural Network Model for Electrocardiogram Records Classification neural network, which exhibits both robustness and efficiency in its classification performance. Thus

A renaissance of neural networks in drug discovery© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction: Neural networks

Neural network model for detecting network scanning attacks was used to build a neural network model. The structure of the constructed neural network was as follows

Development of recurrent neural networksThe Recurrent neural network (RNN) has been the main implementation of neural network sequence

Compressing a convolution neural network based on quantizationModern deep neural network models contain a large number of parameters and have a significant size

Neural-network simulation of diesel operation under a nonsteady load. Numerical experiments are based on a model, a neural network, and test-bench data.

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