Least squares support vector machine for class imbalance learning and their applications to fault detection of aircraft engine
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.08.042
Abstract: Abstract Imbalanced problems often occur when the size of majority class is bigger than that of the minority one. The Least squares support vector machine (LSSVM) is an effective method for solving classification problem on… read more here.
Keywords: imbalance learning; aircraft engine; class; class imbalance ... See more keywords
Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2016.2598270
Abstract: In this paper, a novel construction algorithm called imbalanced Takagi–Sugeno–Kang fuzzy classifier (IB-TSK-FC) for the TSK fuzzy classifier is presented to improve the classification performance and rule-based interpretability for imbalanced datasets. IB-TSK-FC consists of two… read more here.
Keywords: fuzzy clustering; imbalance learning; fuzzy; bayesian fuzzy ... See more keywords