propagation model using neural network (I am beginner)
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
python networking perceptron propagation
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
add a comment |
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
python networking perceptron propagation
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
add a comment |
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
python networking perceptron propagation
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
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
python networking perceptron propagation
python networking perceptron propagation
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
asked Nov 25 '18 at 3:39
Ricardo JuniorRicardo Junior
62
62
add a comment |
add a comment |
1 Answer
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I believe you need a data for the response (PL) and data for the independent variables in order to find n.
you can find n using that data in SPSS, excel, Matlab etc.
Good luck.
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
add a comment |
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1 Answer
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active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I believe you need a data for the response (PL) and data for the independent variables in order to find n.
you can find n using that data in SPSS, excel, Matlab etc.
Good luck.
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
add a comment |
I believe you need a data for the response (PL) and data for the independent variables in order to find n.
you can find n using that data in SPSS, excel, Matlab etc.
Good luck.
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
add a comment |
I believe you need a data for the response (PL) and data for the independent variables in order to find n.
you can find n using that data in SPSS, excel, Matlab etc.
Good luck.
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
I believe you need a data for the response (PL) and data for the independent variables in order to find n.
you can find n using that data in SPSS, excel, Matlab etc.
Good luck.
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
answered Dec 5 '18 at 16:42
Mark ShMark Sh
1
1
add a comment |
add a comment |
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