Advantages of ANN classifiers over the AdaBoost So what are the advantages of ANN classifiers over the AdaBoost or Boosting algorithm?
from comments, by request:

In terms of running time, performance, something else? In terms of error rates, these two methods are hard to compare theoretically. AdaBoost's performance depends on the choice of a base learner and whether the weak learning assumption is satisfied in the particular instance. ANN will work for some problems/distributions but not others. I think this question would be better answered in a different forum.