Dynamic adaptation of the error surface for the acceleration of the training of neural networks
A.G. Thome, Manoel Fernando Tenorio · 1994
Presents a technique, named ARON (adaptive region of nonlinearity), that accelerates learning processes through a dynamic adaptation of the error surface. The procedure implements a generalization of the basic McCulloch-Pitts type of neuron which gives to each unit the ability to automatically adapt its operational region according to the requirements of the problem.>