LWS based PCA subspace ensemble model for soft sensor development
LWS based PCA subspace ensemble model for soft sensor development is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include statistics, process, subspace topology, regression, Gaussian process, artificial intelligence, Gaussian, principal component analysis, pattern recognition, Ensemble forecasting, chemometrics, computer science, data mining, Random subspace method, system identification, fault detection and isolation, regression analysis, mathematics, algorithm, and Principal component regression. Most regression approaches, such as principal component analysis (PCA), are based on an assumption that the process data follow a Gaussian distribution.