Abstract
This paper presents some important properties of the Fuzzy ART neural network algorithm. The properties described in the paper are distinguished into a number of categories. These include template, access, and reset properties, as well as properties related to the number of list presentations needed for weight stabilization. These properties provide numerous insights as to how Fuzzy ART operates. Furthermore, the effect of the Fuzzy ART parameters α and ρ on the functionality of the algorithm is clearly illustrated.
| Original language | English (US) |
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| Pages | 756-761 |
| Number of pages | 6 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA Duration: Jun 27 1994 → Jun 29 1994 |
Conference
| Conference | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) |
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| City | Orlando, FL, USA |
| Period | 6/27/94 → 6/29/94 |
ASJC Scopus subject areas
- Software