A T-Model neural network with learning ability

Okihiko Ishizuka*, Zheng Tang, Tetsuya Inoue, Hiroki Matsumoto, Shogo Ohba

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

4 被引用数 (Scopus)

抄録

The authors introduce a novel neural network called the T-Model with learning capability. They utilized the least mean square algorithm to train the T-Model and exploit the learning capability of the introduced network. The architecture and the algorithm of the T-Model network are described. Some typical examples to illustrate the effectiveness of the algorithm are included and compared with the Hopfield model and a multilayer model. The simulations and experiments showed that the algorithm is quite effective in training the T-Model network for many problems.

本文言語英語
ホスト出版物のタイトル91 IEEE Int Jt Conf Neural Networks IJCNN 91
出版社Publ by IEEE
ページ2288-2293
ページ数6
ISBN(印刷版)0780302273, 9780780302273
DOI
出版ステータス出版済み - 1991
イベント1991 IEEE International Joint Conference on Neural Networks - IJCNN '91 - Singapore, Singapore
継続期間: 1991/11/181991/11/21

出版物シリーズ

名前91 IEEE Int Jt Conf Neural Networks IJCNN 91

学会

学会1991 IEEE International Joint Conference on Neural Networks - IJCNN '91
CitySingapore, Singapore
Period1991/11/181991/11/21

ASJC Scopus 主題領域

  • 工学一般

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