Hello Strtr,
Walter Bright Wrote:
You've got a bad algorithm if increasing the precision breaks it.
No, I don't.
All algorithms using threshold functions which have been generated
using evolutionary algorithms will break by changing the precision.
That is, you will need to retrain them.
The point of most of these algorithms(eg. neural networks) is that you
don't know what is happening in it.
If you don't know what the algorithms is doing then the types used are part
of the algorithm.
OTOH, some would argue that Walter is still right by saying that if you don't
know what is happening, then you've got a bad algorithm.
However you cut it, these cases are by far the minority.
--
... <IXOYE>
