| タイトル | A hybrid architecture for the implementation of the Athena neural net model |
| 本文（外部サイト） | http://hdl.handle.net/2060/19900019716 |
| 著者（英） | Koutsougeras, C.; Papachristou, C. |
| 著者所属（英） | Tulane Univ. |
| 発行日 | 1989-01-31 |
| 言語 | eng |
| 内容記述 | The implementation of an earlier introduced neural net model for pattern classification is considered. Data flow principles are employed in the development of a machine that efficiently implements the model and can be useful for real time classification tasks. Further enhancement with optical computing structures is also considered. |
| NASA分類 | CYBERNETICS |
| レポートNO | 90N29032 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/136173 |
