Abstract: Metaheuristic algorithms have become indispensable tools for solving complex combinatorial optimization problems. However, their performance often depends critically on the selection of ...
Abstract: This study explores how to develop a novel deep stacking Takagi–Sugeno–Kang (TSK) fuzzy classifier to efficiently realize interpretable classification for large-scale multi-class complex ...
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