Hi,
The XYZ coordinates are the drone locations & other input features are the time measurements(time taken for the radio wave to get reflected back from other drones & ground object of interest). The ground object is being tracked by the drones. The target is the ground object location.
So, I want to train the network with time measurements and drone coordinates & predict the XY coordinates on the ground. (Unknown is the ground object coordinates)
The drone operates in a fixed environment/area.
I have a mathematical solution for this, but I also want to compare the results with the neural net.
Thanks.