Abstract
A Knowledge Processing system using Multidirectional Associative Memory (KP-MAM) is proposed mad simulated. The KP-MAM uses distributed knowledge representation and can represent knowledge stored in a form of semantic network. In order to realize knowledge processing system using distributed representation, the KP-MAM enables the following five functions: associations of three-tuple relation, characteristics inheritance, exception processing, many-to-many associations and high storage capacity. The proposed KP-MAM has the following features: 1) It can realize knowledge processing using distributed representation; 2) It is robust for noisy inputs; 3) It guarantees recall of all training data owing to Quick Leaning algorithm; 4) It has high storage capacity.
| Original language | English |
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| Pages | 1304-1309 |
| 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