Propagation model:
P = 10 * n * log10 (d/do)
P = path loss (dB)
n = the path loss distance exponent
d = distance (m)
do = reference distance (m)
The initial idea is to make the loss measurements 'P' with respect to a distance 'd', and to determine the value of 'n'
my question: is this implementation possible using multi-layer Perceptron?
But what could be my inputs and outputs? I thought of something like: input: distance 'd' output: Loss "P"
But I could not think of a solution to determine 'n' from these parameters
the idea is that it is something simple, only for study and later improved