抄録
Feedforward neural network classifier trained with a finite set of available sample tries to estimate properly the different class boundaries in the input feature space. This enables the network to classify unknown new samples with some confidence. A new method for ascertaining proper network size for maximizing generalization as well as correct classification is proposed. An algorithm is also proposed to grow the network to that size.
| 本文言語 | English |
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| ホスト出版物のタイトル | IEEE International Conference on Neural Networks - Conference Proceedings |
| Place of Publication | Piscataway, NJ, United States |
| 出版社 | IEEE |
| ページ | 1116-1120 |
| ページ数 | 5 |
| 巻 | 2 |
| 出版ステータス | Published - 1995 |
| 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 27 → 1995 12月 1 |
Other
| Other | Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) |
|---|---|
| City | Perth, Aust |
| Period | 95/11/27 → 95/12/1 |
ASJC Scopus subject areas
- ソフトウェア