Building random network with different seeds

[psychic]

Hi,
I'm trying to build a network with random connections.
The trick is I would like to average my results over several different random seeds.

The problem is I'm not sure how to clear the previous network created before I reassign a new seed and re-run the simulation.

I cannot also envolope the code creating the connections into a procedure because I'm instantiating new objects inside the function.

What I want to do is this:
Loop {
Reassign random seed
BuildConnections()
Run simulation ()
Get results()
Purge previous connections()
}

Any advice on how I can structure my code to accomplish this.
THanks

[ted]

The general answer is to exit neuron and start anew for each net architecture. This is the only way to ensure that nothing potentially troublesome will persist from run to run. Not knowing your level of expertise, or that of others who might subsequently read this thread, and having seen many examples of "expedient programming" (read "clever hacks, not-so-clever hacks, and just plain stupid tricks"), I hesitate to suggest anything else.