Feed-forward neural network with adaptive buffer length

Akihiro Tsunoda, Masafumi Hagiwara, Masao Nakagawa

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings. IJCNN - International Joint Conference on Neural Networks
編集者 Anon
出版者Publ by IEEE
ページ数1
ISBN(印刷物)0780301641
出版物ステータスPublished - 1992 1 1
外部発表Yes
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
Seattle, WA, USA
期間91/7/891/7/12

ASJC Scopus subject areas

  • Engineering(all)

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  • これを引用

    Tsunoda, A., Hagiwara, M., & Nakagawa, M. (1992). Feed-forward neural network with adaptive buffer length. : Anon (版), Proceedings. IJCNN - International Joint Conference on Neural Networks (Proceedings. IJCNN - International Joint Conference on Neural Networks). Publ by IEEE.