[Haskell-cafe] Neural networks and optimization in Haskell

[Joel Reymont]

Folks,

I got a project where I have a large number of variables and an  
outcome and I need to figure out which 20% of the variables has the  
largest effect on the outcome. Of course I also need to optimize the  
20% of variables I end up with.

This sounds like a job for a neural network to me, with arguments  
possibly optimized through genetic algorithms. I'm wondering, though,  
if I'm complicating things for myself and there's an easier approach  
to this. If not I'm wondering if there are ready-made NN or GA  
libraries for Haskell.

Also, I'm curious if Haskell is really the best language for this  
type of problem and if lazy evaluation brings any specific advantages  
to the solution or would be a hindrance.

I would welcome any pointers and feedback, yes, someone is actually  
paying me to do this :-).

     Thanks, Joel

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