Ensemble learning model for Wifi indoor positioning systems

<p>WiFi indoor positioning researches have received much attention from researchers recently. In this research, we focus on studying the performance of systems that utilize our new proposed ensemble machine learning model. Our model uses several models for normal data training and position prediction, then it verification together with its' prediction errors trained as input to train an intermediate classification classify which set Wifi signal strength indicator (RSSI) is best match each The experimental result shows outperforms other compared models.</p>