Abstract
A Chaotic Bidirectional Associative Memory (CBAM) is proposed and simulated. It can deal with one-to-many associations such as {(A, a), (A, b), (A, c), ...}. In the CBAM, in order to enable one-to-many associations, each training pair is memorized together with its own contextual information and chaotic neurons are employed in a part of the network corresponding to the contextual information. Since the chaotic neurons change their states by chaos, the one-to-many associations can be realized in the CBAM.
| Original language | English |
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| Pages | 816-821 |
| Number of pages | 6 |
| Publication status | Published - 1996 Jan 1 |
| Event | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA Duration: 1996 Jun 3 → 1996 Jun 6 |
Other
| Other | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) |
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| City | Washington, DC, USA |
| Period | 96/6/3 → 96/6/6 |
ASJC Scopus subject areas
- Software