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This repository has been archived by the owner on Sep 26, 2023. It is now read-only.
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
The text was updated successfully, but these errors were encountered:
This repository is unmaintained as the author left Github.
I suggest you to either use a different library or study the source code as
to modify it to suit your needs.
Le 21 mars 2018 06:04, "rpant1979" <[email protected]> a écrit :
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: {x*100+y*10+z} as position.
i get constant error while training even up to 20000 iterations.
Regards
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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
The text was updated successfully, but these errors were encountered: