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  Sorry for this as this discussion probably don't belong here.

  To all who replyed to my post about neural netts and estimation of bubble 
formation. I'm well aware of nural networks pro's and con's and I also know 
that they can estimate caotic behaviour, but in diving you can't learn the 
model because none want's to risk theire life's while training the networks. 
Because of this the network must be trained from a model and it can't be any 
better than this. So if you already have the model, why use a NN?

>(you can derrive lots of info about potential error from
>watching the ststistics during training).

Shure, but how can you obtain training data? I *don't* dive so I don't know, 
but I can't imagine anyone willing to risk theire life to train the network.
So the network must be trained from a model, which it can't be better than.

>As for probability of error, a nnet is certainly no worse than a
>hand-built model;....

A good model is better simply because you know what it does. This is much 
like an accounting problem.

John

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