Abstract
Summary form only given. A novel recursive algorithm to calculate the recursive generalized inverse (RGI) needed to learn some distributed associative memory (DAM) is introduced. The authors show that this new RGI algorithm provides better numerical stability when compared with Greville's algorithm. The RGI has been applied successfully to fault-tolerant information retrieval tasks.
| Original language | English (US) |
|---|---|
| Title of host publication | IJCNN Int Jt Conf Neural Network |
| Editors | Anon |
| Publisher | Publ by IEEE |
| Number of pages | 1 |
| State | Published - Dec 1 1989 |
| Event | IJCNN International Joint Conference on Neural Networks - Washington, DC, USA Duration: Jun 18 1989 → Jun 22 1989 |
Other
| Other | IJCNN International Joint Conference on Neural Networks |
|---|---|
| City | Washington, DC, USA |
| Period | 6/18/89 → 6/22/89 |