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It's not a neural network, it's a flow network (with conservation laws).

Those whom the Gods wish to destroy They first make mad. -- Euripides
by Migeru (migeru at eurotrib dot com) on Sat Nov 18th, 2006 at 04:52:48 PM EST
[ Parent ]
Isn't working out stability criteria a complete pig of a problem?

If the model isn't linear then presumably it's pretty much unstable, almost by definition. I suppose a subset of small problems might convege towards something resembling equilibrium. But won't a reality-sized model that assumes time-based relationships between inputs and outputs wobble chaotically all over the place?

by ThatBritGuy (thatbritguy (at) googlemail.com) on Sat Nov 18th, 2006 at 08:05:41 PM EST
[ Parent ]
If the model is convex it's stable, almost by definition. Linearity is just a red herring there.

I agree, though, that as soon as you introduce time and, more importantly, delays, you get an entirely different order of complexity. Delayed feedback is really, really nasty in that respect.

Those whom the Gods wish to destroy They first make mad. -- Euripides

by Migeru (migeru at eurotrib dot com) on Sat Nov 18th, 2006 at 09:34:57 PM EST
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