Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path

Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path

This work presents and evaluates the use of geometric parameters of the environment in the prediction of the electric field in mixed city-river type environments, employing two techniques of Machine Learning (ML) as Artificial Neural Networks (ANN) and Neuro-Fuzzy System (NFS). For its development,...

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Bibliographic Details
Main Authors: Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
geometric parameters
neuro-fuzzy systems
mixed city-river path
radio propagation model
Online Access:https://ieeexplore.ieee.org/document/9151943/

Internet

https://ieeexplore.ieee.org/document/9151943/

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