Extreme learning machine for user location prediction in mobile environment

@article{Mantoro2011ExtremeLM,
  title={Extreme learning machine for user location prediction in mobile environment},
  author={Teddy Mantoro and Akeem Koye Olowolayemo and Sunday Olusanya Olatunji and Media A. Ayu and Abu Osman Md. Tap},
  journal={Int. J. Pervasive Computing and Communications},
  year={2011},
  volume={7},
  pages={162-180}
}
Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal strength (SS) and signal quality (SQ) and subsequently building a model based on extreme learning machine (ELM), a new learning algorithm for single-hidden-layer neural networks. Design/methodology… CONTINUE READING