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pro vyhledávání: '"Abigail Jefia"'
Autor:
Segun I. Popoola, Abigail Jefia, Aderemi A. Atayero, Ogbeide Kingsley, Nasir Faruk, Olasunkanmi F. Oseni, Robert O. Abolade
Publikováno v:
IEEE Access, Vol 7, Pp 150462-150483 (2019)
It is very important to understand the input features and the neural network parameters required for optimal path loss prediction in wireless communication channels. In this paper, an extensive investigation was conducted to determine the most approp
Externí odkaz:
https://doaj.org/article/59c8669cd7b740649ba91293933886ed
Autor:
Aderemi A. Atayero, Segun I. Popoola, Robert O. Abolade, Abigail Jefia, Ogbeide Kingsley, Olasunkanmi F. Oseni, Nasir Faruk
Publikováno v:
IEEE Access, Vol 7, Pp 150462-150483 (2019)
It is very important to understand the input features and the neural network parameters required for optimal path loss prediction in wireless communication channels. In this paper, an extensive investigation was conducted to determine the most approp
Autor:
Aderemi A. Atayero, Segun I. Popoola, Andrew Gibson, Kingsley Ogbeide, Abigail Jefia, Bamidele Adebisi
Publikováno v:
2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
Path loss models are veritable tools for estimation of expected large-scale signal fading in a specific propagation environment during wireless network design and optimization. In this paper, the capability of Adaptive Neuro-Fuzzy Inference System (A