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- W1493208595 abstract "A fuzzified TSK-type recurrent neural fuzzy network (FTRNFN) for handling fuzzy temporal information is proposed in this paper. The inputs and outputs of FTRNFN are fuzzy patterns represented by Gaussian or isosceles triangular membership functions. In structure, FTRNFN is a recurrent fuzzy network constructed from a series of recurrent fuzzy if-then rules with TSK-type consequent parts. The recurrent property of FTRNFN enables it to deal with fuzzy patterns with temporal context. There are no rules in FTRNFN initially; they are constructed on-line by concurrent structure and parameter learning. The ability of TRFNFN is verified from a two-dimensional fuzzy temporal sequence prediction problem." @default.
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- W1493208595 date "2005-03-31" @default.
- W1493208595 modified "2023-09-23" @default.
- W1493208595 title "Fuzzy temporal sequence processing by fuzzified recurrent neural fuzzy network" @default.
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- W1493208595 doi "https://doi.org/10.1109/icsmc.2004.1401128" @default.
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