TY - CONF
AU - Cpałka, Krzysztof
AU - Rebrova, Olga
AU - Nowicki, Robert
AU - Rutkowski, Leszek
ED - Kuznetsov, Sergei O.
ED - Ślęzak, Dominik
ED - Hepting, Daryl H.
ED - Mirkin, Boris G.
PY - 2011
DA - 2011//
TI - On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling
BT - Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
SP - 147
EP - 154
PB - Springer Berlin Heidelberg
CY - Berlin, Heidelberg
AB - In the paper the evolutionary strategy is used for learning of neuro-fuzzy structures of a Mamdani type applied to modelling of nonlinear systems. In the process of evolution we determine parameters of fuzzy membership functions, specific t-norm in a fuzzy inference, specific t-norm for aggregation of antecedents in each rule, and specific t-conorm describing an aggregation operator. The method is tested using well known approximation benchmarks.
SN - 978-3-642-21881-1
ID - 10.1007/978-3-642-21881-1_24
ER -