On-line learning in a discrete state space

Дата и время публикации : 1997-05-26T10:04:29Z

Авторы публикации и институты :
W. Kinzel
R. Urbanczik

Ссылка на журнал-издание: Ссылка на журнал-издание не найдена
Коментарии к cтатье: 7 pages, 1 Figure, Latex, submitted to J.Phys.A
Первичная категория: cond-mat

Все категории : cond-mat

Краткий обзор статьи: On-line learning of a rule given by an N-dimensional Ising perceptron, is considered for the case when the student is constrained to take values in a discrete state space of size $L^N$. For L=2 no on-line algorithm can achieve a finite overlap with the teacher in the thermodynamic limit. However, if $L$ is on the order of $sqrt{N}$, Hebbian learning does achieve a finite overlap.

Category: Physics