Optimal model for path loss predictions using feed-forward neural networks

Optimal model for path loss predictions using feed-forward neural networks

In this paper, an optimal model is developed for path loss predictions using the Feed-Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in Canaanland Ota, Nigeria and Ilorin, Nigeria to obtain path loss data at varying distances from 11 different 1,800 MHz base statio...

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Bibliographic Details
Main Authors: Segun I. Popoola, Emmanuel Adetiba, Aderemi A. Atayero, Nasir Faruk, Carlos T. Calafate
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Engineering
Subjects:
path loss
received signal strength
scale conjugate gradient
radio network planning
artificial neural network
Online Access:http://dx.doi.org/10.1080/23311916.2018.1444345

Internet

http://dx.doi.org/10.1080/23311916.2018.1444345

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