Banerjee, M. ; Mitra, S. ; Pal, S.K. Knowledge-based fuzzy MLP with rough sets In: Proceedings of International Conference on Neural Networks (ICNN'97), 12-12 June 1997, Houston, TX, USA.
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Official URL: https://doi.org/10.1109/ICNN.1997.611719
Related URL: http://dx.doi.org/10.1109/ICNN.1997.611719
Abstract
A new scheme of knowledge encoding using rough set-theoretic concepts is proposed. Knowledge collected from a data set is initially encoded among the connection weights of a fuzzy MLP. The network is then refined during training. Results on real data, demonstrate that the speed of learning and classification performance of the proposed scheme are better than that obtained with the fuzzy and conventional versions of the MLP (involving no initial knowledge).
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Fuzzy sets; Rough sets; Neurons; Fuzzy set theory; Encoding; Fuzzy neural networks; Neural networks; Uncertainty; Machine intelligence; Electronic mail. |
| ID Code: | 140204 |
| Deposited On: | 07 Sep 2025 07:59 |
| Last Modified: | 07 Sep 2025 07:59 |
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