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
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.