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From: "Pierre Orphelin" <pierre.orphelin@xxxxxxx>
Date: Sat, 26 Jun 2004 19:23:21 +0200
Training a NN for a supposed good result is not a piece of cake. Even if you are
an expert.
The problem has too many solutions and false tracks to follow and you may spend
a lifetime doing such a research .
Which is why Genetic Algorithms are very handy tools. It is not
necessary to obtain the optimum result, "close enough" is sufficient
for profit.
The biggest drawback to a classic NN is the lack of a "no match"
outcome.
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