Abstract
A MultiModule Associative memory for Many-to-Many Associations, (MMA)2 is proposed. The features of the proposed (MMA)2 are: 1) it can memorize and recall not only many-to-many associations but also the context and union associations; 2) it can guarantee the recall of all training data; 3) it has high storage capacity.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Neural Networks - Conference Proceedings |
| Publisher | IEEE |
| Pages | 1755-1760 |
| Number of pages | 6 |
| Volume | 4 |
| Publication status | Published - 1995 |
| Event | Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust Duration: 1995 Nov 27 → 1995 Dec 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 |
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ASJC Scopus subject areas
- Software
Cite this
Multimodule associative memory for many-to-many associations. / Hattori, Motonobu; Hagiwara, Masafumi.
IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 4 IEEE, 1995. p. 1755-1760.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multimodule associative memory for many-to-many associations
AU - Hattori, Motonobu
AU - Hagiwara, Masafumi
PY - 1995
Y1 - 1995
N2 - A MultiModule Associative memory for Many-to-Many Associations, (MMA)2 is proposed. The features of the proposed (MMA)2 are: 1) it can memorize and recall not only many-to-many associations but also the context and union associations; 2) it can guarantee the recall of all training data; 3) it has high storage capacity.
AB - A MultiModule Associative memory for Many-to-Many Associations, (MMA)2 is proposed. The features of the proposed (MMA)2 are: 1) it can memorize and recall not only many-to-many associations but also the context and union associations; 2) it can guarantee the recall of all training data; 3) it has high storage capacity.
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UR - http://www.scopus.com/inward/citedby.url?scp=0029514446&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029514446
VL - 4
SP - 1755
EP - 1760
BT - IEEE International Conference on Neural Networks - Conference Proceedings
PB - IEEE
ER -