Operating Performance Assessment of Complex Nonlinear Industrial Process Based on Kernel Locally Linear Embedding PLS.
Fei ChuShuangshuang MoLili HaoNingyun LuFuli WangPublished in: IEEE Trans Autom. Sci. Eng. (2024)
Keyphrases
- industrial process
- laplacian eigenmaps
- kernel pca
- locally linear embedding
- locally linear
- feature mapping
- dimensionality reduction
- industrial processes
- highly nonlinear
- manifold learning
- support vector
- nonlinear dimensionality reduction
- data sets
- kernel methods
- underlying manifold
- partial least squares
- subspace learning
- low dimensional
- quality improvement
- high dimensional data
- feature space
- preprocessing