Training RSSI->distance to location in brain

Hi, I am trying to use brain for training RSSI and sensors coordinates as inputs and position as output in x,y,z normalized in single number. can you suggest on data modeling this into brain.

inputs : [{x1,y1,z1,distance1},{{x2,y2,z2,distance2},{x3,y3,z3,distance3}} output: {x100+y10+z} as position.

i get constant error while training even up to 20000 iterations.

Regards