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method having probability one of finding a global minimum among
local minima. There is potential here.
When to Use a Multiple-Layer Feedforward Network
This model has a well-deserved reputation for being the neural
network. It is a universal function approximator. We can, theoretical-
ly at least, teach anything learnable to this network. Thus, it is
reasonable to consider this network for any problem.
Another advantage of the multiple-layer feedforward network
is that its execution speed is among the fastest of all models currently
in use. Many models, none of which is presented in this book, use
iteration to converge to a decision ...