Abstract
For pattern recognition, the decision trees (DTs) are
more efficient than neural networks (NNs) for two
reasons. First, the computations in making decisions
are simpler. Second, important features can be selected
automatically during the design process. On the other
hand, NNs are adaptable, and thus have the ability to
learn in changing environment.
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