Learning temporal sequences by complex neurons with local feedback

Makoto Kinouchi, Masafumi Hagiwara

研究成果: Paper査読

9 被引用数 (Scopus)

抄録

To deal with temporal sequences is very important and difficult problem for applications of neural networks. In this paper, we propose a Multilayer Network using Complex neurons with local Feedback (MNCF). A complex neuron can keep previous information by the phase component. We derive simple learning algorithm based on the back-propagation for temporal sequences. It is shown in computer simulations that the proposed network has better ability than the conventional real ones, including Elman's network.

本文言語English
ページ3165-3169
ページ数5
出版ステータスPublished - 1995 12月 1
イベントProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
継続期間: 1995 11月 271995 12月 1

Other

OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period95/11/2795/12/1

ASJC Scopus subject areas

  • ソフトウェア

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