Mixture modeling for industrial soft sensor application based on semi ...
However, strongly nonlinear, dynamic timevarying, and multirate data characteristics are major causes of poor soft sensor performance. To address this problem, a strategy of building a soft sensor model based on local semisupervised ensemble learning of least squares support vector regression (LSELLSSVR) is proposed in this paper.