Abstract: This study proposes a transformer bushing fault diagnosis method based on a feature-optimized Random ForestSVM model. A 21-dimensional feature set, combining original Dissolved Gas Analysis ...
Abstract: Seismic forward modeling is crucial for exploration geophysics, especially in seismic exploration. As research has progressed, the limitations of forward models assuming homogeneous media ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
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