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Applying neural networks to the network slicing problem scheme with neural networks mechanism usage.

Using Neural Networks for Channel Quality Prediction in Wireless 5G Networks of this ratio in the past. Prediction is performed using machine learning. For this, a neural network was built

The Multi-Objective Optimization of Complex Objects Neural Network Models-objective optimization of the structure of a neural network model has been formalized, given its computational complexity

Cognitive systems, artificial neural networks and differential equations: Social media data for constructing mathematical and neural network models for analyzing the social media users' perception based

Markov Decision Process and Artificial Neural Network for Resource Capacity Planning in 5G Network Slicing. The optimization process is guided by a reward function that adheres to three principles of network slicing

Neural network software technology trainable on the random search principles the training process is based on random search algorithms. Training neural networks is a typical optimization

Optimization of Production Processes by Means of Digital ModelsAbstract: Optimization of industrial production by means of digital models is considered. © 2020

The use of recurrent neural networks to solve a regression type problem with the problem of predicting the trend of financial time series using the LSTM neural network. The time series

Hyperparameters of Multilayer Perceptron with Normal Distributed WeightsMultilayer Perceptrons, Recurrent neural networks, Convolutional networks, and others types

PREGESTATIONAL NEURAL NETWORK PREDICTION OF FETAL GROWTH RESTRICTION OR SMALL-FOR-GESTATIONAL-AGE FETUS WITH SUBSEQUENT INTENSIVE CARE OF THE NEWBORNObjective: To create and test a prototype of a neural network tool for pregestational

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