Abstract
This study introduces the fuzzy sequential circuit and its learning algorithm. The circuit is composed of the weight-added fuzzy flip-flops constructed by weight-added AND/OR elements. The modelling process of the fuzzy sequential circuit is illustrated using a part of a small economic model wherein each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationships of cause and effect are realized by the ordinary AND/OR elements. These cause and effect defines the topology of fuzzy sequential circuit. Finally, the learning algorithm is used to estimate the weight parameters of each weight-added fuzzy flip-flop.
| Original language | English |
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| Pages | 291-296 |
| Number of pages | 6 |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 26 Jun 1994 → 29 Jun 1994 |
Conference
| Conference | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) |
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| City | Orlando, FL, USA |
| Period | 26/06/94 → 29/06/94 |
Cite this
Ikoma, N., Ozawa, K., Hirota, K., & Pedrycz, W. (1994). Fuzzy sequential circuit based on weight-added fuzzy flip-flop. 291-296. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA.