backpropagation neural network using patternnet take non-Binary training set
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Chetana
el 18 de Mayo de 2014
Editada: Greg Heath
el 16 de Feb. de 2015
I am using Matlab R2012 and wish to design BPNN. Using nprtool, it is possible to design a two layer backpropagation neural network. I have following query:
Can backpropagation neural network using patternnet take the non-Binary dataset as a training set? please guide me. Thank you in advance.
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Respuesta aceptada
Greg Heath
el 19 de Mayo de 2014
For a c-class classifier, use patternnet with binary targets consisting of columns of the c-dimensional unit matrix eye(c).
Inputs can be real or binary.
There are many examples available. Search
help patternnet
doc patternnet
greg patternnet
Hope this helps.
Thank you for formally accepting my answer
Greg
2 comentarios
Greg Heath
el 16 de Feb. de 2015
Editada: Greg Heath
el 16 de Feb. de 2015
There are 3 main ways to improve generalization. Although they can be used simultaneously, usually one is sufficient.
1. Given a training goal, e.g.,
NMSE = mse(error)/mean(var(target',1)) <= 0.01
Minimize the number of hidden nodes
2. Use a validation stopping subset
3. Use regularization via
a. MSEREG
or
b. TRAINBR
Hope this helps,
Greg
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