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