Knowledge-based fuzzy MLP with rough sets

被引：0
|
作者：
Banerjee, M
Mitra, S
Pal, SK
机构：
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4 | 1997年
关键词：
knowledge-based networks; rough sets; fuzzy MLP; classification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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).
引用
收藏
页码：499 / 504
页数：6
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