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AN INDOOR POSITIONING TECHNIQUE BASED ON A FEED-FORWARD ARTIFICIAL NEURAL NETWORK USING LEVENBERG-MARQUARDT LEARNING METHOD

This paper presents an indoor positioning technique based on a multi-layer feed-forward (MLFF) artificial neural networks (ANN). Most of the indoor received signal strength (RSS)-based WLAN positioning systems use the fingerprinting technique that can be divided into two phases: the offline (calibra...

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Detalhes bibliográficos
Main Authors: P. Pahlavani, A. Gholami, S. Azimi
Formato: Artigo
Idioma:Inglês
Publicado em: Copernicus Publications 2017-09-01
Colecção:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Acesso em linha:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/435/2017/isprs-archives-XLII-4-W4-435-2017.pdf
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