Abstract
In this paper, Quick Learning algorithm for Multidirectional Associative Memories (MAMs) is proposed. Owing to the Quick Learning algorithm, not only the storage capacity of the MAMs can be improved, but also the recall of all training data can be guaranteed. In addition, several important characteristics of the MAMs such as the relation between the required learning epochs and the number of layers and the relation between the noise reduction effect and the number of layers are introduced.
| Original language | English |
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| Pages | 1949-1954 |
| Number of pages | 6 |
| Publication status | Published - 1995 Dec 1 |
| 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) |
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| City | Perth, Aust |
| Period | 95/11/27 → 95/12/1 |
ASJC Scopus subject areas
- Software
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Hattori, M., & Hagiwara, M. (1995). Quick learning for multidirectional associative memories. 1949-1954. Paper presented at Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6), Perth, Aust, .