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Optimal Model for Path Loss Predictions using Feed-Forward Neural Networks

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Optimal Model for Path Loss Predictions using Feed-Forward Neural Networks

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Popoola, SI.; Adetiba, E.; Atayero, AA.; Faruk, N.; Tavares De Araujo Cesariny Calafate, CM. (2018). Optimal Model for Path Loss Predictions using Feed-Forward Neural Networks. Cogent Engineering. 5:1-19. https://doi.org/10.1080/23311916.2018.1444345

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/119577

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Title: Optimal Model for Path Loss Predictions using Feed-Forward Neural Networks
Author: Popoola, Segun I. Adetiba, Emmanuel Atayero, Aderemi A. Faruk, Nasir Tavares De Araujo Cesariny Calafate, Carlos Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] 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 ...[+]
Subjects: Path loss , Received signal strength , Scale conjugate gradient , Radio network planning , Artificial Neural Network
Copyrigths: Reconocimiento (by)
Source:
Cogent Engineering. (eissn: 2331-1916 )
DOI: 10.1080/23311916.2018.1444345
Publisher:
Cogent OA
Publisher version: https://doi.org/10.1080/23311916.2018.1444345
Project ID:
Covenant University/CUCRID-SMARTCU-000343
Thanks:
This work was supported by Covenant University [grant number CUCRID-SMARTCU-000343].
Type: Artículo

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