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AN INTERVAL APPROACH FOR WEIGHTS INITIALIZATION OF FEEDFORWARD NEURAL NETWORKS
(SPRINGER-VERLAG BERLIN, 2006)
This work addresses an important problem in Feedforward Neural Networks (FNN) training, i.e. finding the pseudo-global minimum of the cost function, assuring good generalization properties to the trained architecture. ...