strtr wrote:
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.
You're going to have nothing but trouble with such a program. It won't be
portable even on Java, and it may also exhibit different behavior based on
compiler switch settings.
It's like relying on the lense in your camera to be of poor quality. Can you
imagine going to the camera store and saying "I don't want the newer, high
quality lenses, I want your old fuzzy one!" ?
I suggest instead using fixed point arithmetic with a 64 bit integer type.
