Thread Subject: How to generate randomized weights for network topology?

Hi all!
I need some help in generating values based on co-ordinates. The values are meant as weights for network. For e.g. for nodes 1->7 it is 23, then for 7->1 should also be 23. Similarly for a topology of size 20, I want to generate the weights for several nodes. Of course, some of the links can have 0s. Is this possible in matlab? Can someone please point out?

Thanks

On May 20, 10:00 am, "Marat " <nemesis_...@yahoo.com> wrote:
> Hi all!
> I need some help in generating values based on co-ordinates. The values a=
re meant as weights for network. For e.g. for nodes 1->7 it is 23, then for=
 7->1 should also be 23. Similarly for a topology of size 20,

I dom't understand what you mean. Your "example" makes no sense to me.

>I want to generate the weights for several nodes. Of course, some of the l=
inks > can have 0s. Is this possible in matlab? Can someone please point ou=
t?

Which neural networks? Some (e.g., NEWFF) generate their own random
initial weights.

Need more info.

Greg

On May 20, 10:00 am, "Marat " <nemesis_...@yahoo.com> wrote:
> Hi all!
> I need some help in generating values based on co-ordinates. The values a=
re meant as weights for network. For e.g. for nodes 1->7 it is 23, then for=
 7->1 should also be 23. Similarly for a topology of size 20, I want to gen=
erate the weights for several nodes. Of course, some of the links can have =
0s. Is this possible in matlab? Can someone please point out?
>
> Thanks

doc init
help init

Hope this helps.

Greg

My apologies for not being clear. I have a network topology of 3 nodes, and I need to have weights for the links between nodes thats is of this pattern:

0 10 4
10 0 10
4 10 0

This represents the weights between nodes, say between nodes 1 and 2 is 20, and since it is bi-directional the weights between nodes 2 and 1 is also 20. I need help in generating such weights for larger number of nodes.

Thanks you for your time.

On May 21, 10:48 pm, "Marat " <nemesis_...@yahoo.com> wrote:
> My apologies for not being clear. I have a network topology of 3 nodes, and I need to have weights for the links between nodes thats is of this pattern:
>
> 0   10   4
> 10  0   10
> 4   10   0  
>
> This represents the weights between nodes, say between nodes 1 and 2 is 20, and since it is bi-directional  the weights between nodes 2 and 1 is also 20. I need help in generating such weights for larger number of nodes.
>
> Thanks you for your time.

You are still not clear.

What type of net do you have?

For example, an I-H-O FF MLP can be created using
net = newff(p,t,H);
Modifiable weights are contained in net.IW,net.LW and net.b.

Still need more info.

Greg

It is a static network obtained using a separate program, not matlab. The computer network topology is already present. It does not denote neural networks or any other similar types.

I am just looking for a way to generate the weights representing Quality of service values.

Thanks again.

"Marat " <nemesis_810@yahoo.com> wrote in message <gv66u2$q8r$1@fred.mathworks.com>...
> It is a static network obtained using a separate program, not matlab. The computer network topology is already present. It does not denote neural networks or any other similar types.
>
> I am just looking for a way to generate the weights representing Quality of service values.
>
> Thanks again.

If I understand correctly, you can do this:

a = floor(rand(3)*10)
a = triu(a) + triu(a,1)'