XPost: comp.ai.genetic, comp.ai.neural-nets   
   From: mick_from-newsg1@yahoo.com   
      
   Newbie question here:   
      
    Does anyone know which systems/topology would be best to   
    implement a "square root" function, either using   
    neural networks, genetic algorithms, etc   
      
    Idea here is 1 input (source value),   
      
    two outputs:   
    1. square root value   
    2. Indicator - when set high, calculation has finished.   
      
      
    Idea here is that the training set will be a "simple" table   
    of inputs (original values) and outputs (square roots).   
    [with indicator output to say when calculation finished, or   
    1000 iterations, whichever comes first]   
      
    Id like to see which systems could automatically deduce   
    a newtonian solution (or other) to this problem.   
      
    Any ideas, even vague, very welcome!   
      
    Regards,   
              M.   
      
    	mick_from-newsg1@yahoo.com   
      
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