Effect of time correlation of input patterns on the convergence of on-line learning.

نویسندگان

  • Hondou
  • Yamamoto
  • Sawada
  • Hayakawa
چکیده

We studied the effects of time-correlation of subsequent patterns on the convergence of on-line learning by a feedforward neural network with backpropagation algorithm. By using chaotic time series as sequences of correlated patterns, we found that the unexpected scaling of converging time with learning parameter emerges when time-correlated patterns accelerate learning process. PACS numbers: 87.10.+e, 07.05.Mh, 05.45.+b Typeset using REVTEX

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عنوان ژورنال:
  • Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics

دوره 53 4  شماره 

صفحات  -

تاریخ انتشار 1996