Fast training algorithms for multilayer neural nets . Fast Training Algorithms for Multilayer Neural Nets . BP or other more advanced learning algorithms are still used as optimisation algorithms. They just optimise different error functions. The nature of the problem is unchanged.
Criteria always have to be set for learning.
However , no criteria can guarantee that they correspond to true generalisation. This is a problem faced by all inductive learning methods. There is no way in practice one can get around this. Fast training algorithms for multilayer neural nets . This algorithm, referred to henceforth as CART LC, is an important basis for OC1.