H. Cateau et al., POWER-LAW SLOWDOWN OF THE NEURAL LEARNING, IEICE transactions on fundamentals of electronics, communications and computer science, E77A(12), 1994, pp. 2109-2111
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Categorie Soggetti
Engineering, Eletrical & Electronic","Computer Science Hardware & Architecture","Computer Science Information Systems
We numerically show that the learning time t of the back propagation m
odel with the encoder topology obeys a power law described as t propor
tional to M(D) (D: constant, 1 < D less than or similar to 2), with M
being the number of input patterns.