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The robust soft sensing model based on stacked least square - support vector machine is presented. Data for building nonlinear models is re-sampled using principle components analysis techniques to form a number of sets of training and test data. For each data set, a support vector machine model is developed and the developed models are then combined with different weigh factors. Model robustness...
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