Add to ORKGA new method based on feed-forward neural networks for propagation loss prediction in urban environment is introduced in this paper. This method is particularlysuited for application in mobile network planning
Path loss prediction in radio wave propagation models are often categorized as theoretical/physical,...
One of the most critical problems in a communication system is losing information between the transm...
This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/p...
A new method based on feed-forward neural networks for propagation loss prediction in urban environ...
In this paper, an optimal model is developed for path loss predictions using the Feed-Forward Neural...
Abstract—In the last few years, the mobile data traffic has grown exponentially making evident the i...
This paper applies a deep learning approach to model the mechanism of path loss based on the path pr...
Modern cellular communication networks are already being perturbed by large and steadily increasing ...
Abstract This article presents the analysis of a hybrid, error correction-based, neural network mode...
Tabular data and images have been used from machine learning models as two diverse types of inputs, ...
This paper presents and evaluates artificial neural network models used for macrocell path loss pred...
Path loss prediction is of great significance for the performance optimization of wireless networks....
Path loss prediction in urban environment using learning machines and dimensionality reduction techn...
This paper presents the results of our studies regarding the applications of the neural networks to ...
This work proposes the use of neural networks in path loss prediction, an important part in mobile ...
Path loss prediction in radio wave propagation models are often categorized as theoretical/physical,...
One of the most critical problems in a communication system is losing information between the transm...
This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/p...
A new method based on feed-forward neural networks for propagation loss prediction in urban environ...
In this paper, an optimal model is developed for path loss predictions using the Feed-Forward Neural...
Abstract—In the last few years, the mobile data traffic has grown exponentially making evident the i...
This paper applies a deep learning approach to model the mechanism of path loss based on the path pr...
Modern cellular communication networks are already being perturbed by large and steadily increasing ...
Abstract This article presents the analysis of a hybrid, error correction-based, neural network mode...
Tabular data and images have been used from machine learning models as two diverse types of inputs, ...
This paper presents and evaluates artificial neural network models used for macrocell path loss pred...
Path loss prediction is of great significance for the performance optimization of wireless networks....
Path loss prediction in urban environment using learning machines and dimensionality reduction techn...
This paper presents the results of our studies regarding the applications of the neural networks to ...
This work proposes the use of neural networks in path loss prediction, an important part in mobile ...
Path loss prediction in radio wave propagation models are often categorized as theoretical/physical,...
One of the most critical problems in a communication system is losing information between the transm...
This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/p...