A fast genetic method for inducting linguistically understandable fuzzy models - IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
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چکیده
Fuzzy rule bases can be regarded as mixtures of experts, and hoosting techniques can be applied to learn them from data. In particular, provided that adequate reasonin: methods are used, fuzzy models are extended additivc models. thus backfitting can be applied to them. We propose to use an implementation of backfitting that uses a genetic algorithm for fitting submodels to residuals and we also show that it is both more accurate and faster than other fuzzy rule learning methods.
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تاریخ انتشار 2004