Phone distance from telecominucation base stations
In this test case we were asked to determine the position of a client phone using only received signal intensity from three telecommunication base stations (fixed antennas). deepROM® was used for this aim.
To be assured of our product’s quality, a combination of TensorFlow and state of the art methods were used to learn the same data.
|TensorFlow+State of the art||deepROM®|
|Learning process||– Trial and error approach was used, 50 learning tries
– Each try the results were analyzed, and modifications were made to the learning method
| Launch one learning
|Validation error (%)||1.93 (best error of 50 tries)||1.82 (one try)|
|Number of links||22421||740|
|State of the art + TensorFlow||deepROM®|