Feed-forward neural network with adaptive buffer length

Akihiro Tsunoda, Masafumi Hagiwara, Masao Nakagawa

研究成果: Conference contribution

抄録

Summary form only given, as follows. A feedforward neural network with adaptive buffer length (FAB) was proposed and simulated. FAB has some buffers that store the past inputs and switches between the buffers and hidden units, which control the output of the buffers. Computer simulation results indicate that FAB can adjust the length of buffers for each input pattern automatically. FAB can also find the Markov dimension of the input sequences more effectively than the conventional dynamic network models.

本文言語English
ホスト出版物のタイトルProceedings. IJCNN - International Joint Conference on Neural Networks
編集者 Anon
出版社Publ by IEEE
ページ数1
ISBN(印刷版)0780301641
出版ステータスPublished - 1992 1 1
外部発表はい
イベントInternational Joint Conference on Neural Networks - IJCNN-91-Seattle - Seattle, WA, USA
継続期間: 1991 7 81991 7 12

出版物シリーズ

名前Proceedings. IJCNN - International Joint Conference on Neural Networks

Other

OtherInternational Joint Conference on Neural Networks - IJCNN-91-Seattle
CitySeattle, WA, USA
Period91/7/891/7/12

ASJC Scopus subject areas

  • Engineering(all)

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