what calculation does neural network sim function do?
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Ismail
el 9 de Abr. de 2014
Comentada: Greg Heath
el 22 de Abr. de 2014
Hi, I am trying to make manually the same calculation that neural network sim function does.I am using two layer neural network(input neurons+layer neurons). I need to do this because i need to gain some time. Here is how i call this function :
load('myperformance','net','ps','ts');
x=value;
W=net.IW{1};
Z=net.LW{2};
b1=net.b{1};
b2=net.b{2};
%calculation the equivalent of sim function
x_norm = mapstd('apply',x,ps);
s=Z*(W*x_norm+b1)+b2;
y = mapstd('reverse',s,ts)
but the problem is that i don't get the same result as the sim function.
Am I missing something? thank you, Ismail
0 comentarios
Respuesta aceptada
Greg Heath
el 11 de Abr. de 2014
In a two layer neural network there are two layers of neurons (transfer functions), the hidden layer and the output layer. This confuses some people because there are three layers of nodes input/hidden/output. However, the input nodes are not neurons. They are fan-in units.
[xnorm, xsettings] = mapstd(x);
[tnorm, tsettings] = mapstd(t);
h = tansig(b1+IW*xnorm);
ynorm = purelin(b2+LW*h);
y = mapstd('reverse',ynorm,tsettings);
Hope this helps,
Thank you for formally accepting my answer
Greg
0 comentarios
Más respuestas (1)
Ver también
Categorías
Más información sobre Deep Learning Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!