From: Mano Samuel on
hola ,

I tried the nftool to observe the weight values . So I arranged inputs and targets as following,

Inputs - 20 x 70 samples representing 70 samples of 20 elements
Targets - 1 x 70 representing 70 samples of 1 element each.
Number of neurons in hidden layer = 10;

When i go on observe the weight values, it reads

net.IW = [10x8 double]
[]

and

net.LW = [] []
[1x10 double] []

i was expecting net.IW = 10 x 20 , because

net3.inputs{1}.size * length(net3.inputWeights{1,1}.delays) = 20.

Not sure why this happens. Hopefully someone can help me out. Thank you
From: Mano Samuel on
"Mano Samuel" <manosamuel(a)rediffmail.com> wrote in message <hjjqai$4g8$1(a)fred.mathworks.com>...
> hola ,
>
> I tried the nftool to observe the weight values . So I arranged inputs and targets as following,
>
> Inputs - 20 x 70 samples representing 70 samples of 20 elements
> Targets - 1 x 70 representing 70 samples of 1 element each.
> Number of neurons in hidden layer = 10;
>
> When i go on observe the weight values, it reads
>
> net.IW = [10x8 double]
> []
>
> and
>
> net.LW = [] []
> [1x10 double] []
>
> i was expecting net.IW = 10 x 20 , because
>
> net3.inputs{1}.size * length(net3.inputWeights{1,1}.delays) = 20.
>
> Not sure why this happens. Hopefully someone can help me out. Thank you


never mind .. answer found ...