Knowledge-Leverage-Based TSK Fuzzy System Modeling

Abstract

Classical fuzzy system modeling methods consider only the current scene where the training data are assumed to be fully collectable. However, if the data available from the current scene are insufficient, the fuzzy systems trained by using the incomplete datasets will suffer from weak generalization capability for the prediction in the scene. In order to… (More)
DOI: 10.1109/TNNLS.2013.2253617

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