To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.
Abstract: The increasing failure rate of underground cable systems due to aging poses challenges for the reliable operation of power grids. Without proper asset management methods, the grid may not ...
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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