Title :
Knowledge-based fuzzy MLP with rough sets
Author :
Banerjee, M. ; Mitra, Sushmita ; Pal, Sankar K.
Author_Institution :
Machine Intelligence Unit, Indian Stat. Inst., Calcutta, India
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)
Keywords :
encoding; fuzzy neural nets; learning (artificial intelligence); multilayer perceptrons; pattern classification; set theory; speech recognition; classification performance; connection weights; knowledge encoding; knowledge-based fuzzy MLP; rough sets; speed of learning; training; Electronic mail; Encoding; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Machine intelligence; Neural networks; Neurons; Rough sets; Uncertainty;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611719
