@inproceedings{17de74fd504646d5872eda920290d291,
title = "Scaled conjugate gradient neural network for optimizing indoor positioning system",
abstract = "In this paper, several indoor positioning systems are reviewed and a deep neural network (DNN) algorithm based on Scaled Conjugate Gradient (SCG) algorithm is proposed. In the proposed indoor positioning system, Received Signal Strength (RSS) is used as a fingerprint to identify the indoor location in terms of Building and Floor. The performance of the system is evaluated and compared against other machine learning based positioning systems. The accuracy of the proposed DNN is 99\% when tested using a standard dataset.",
keywords = "classification, deep neural networks, indoor positioning system, optimization, RSS, scaled conjugate gradient",
author = "Nour Aburaed and Shadi Atalla and Husameldin Mukhtar and Mina Al-Saad and Wathiq Mansoor",
year = "2019",
month = nov,
day = "21",
doi = "10.1109/ISNCC.2019.8909147",
language = "English",
series = "2019 International Symposium on Networks, Computers and Communications, ISNCC 2019",
publisher = "IEEE",
booktitle = "2019 International Symposium on Networks, Computers and Communications, ISNCC 2019",
note = "2019 International Symposium on Networks, Computers and Communications, ISNCC 2019 ; Conference date: 18-06-2019 Through 20-06-2019",
}