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Soft Sensors (SSs) have been widely investigated and employed as inferential sensing systems for providing on-line estimations of industrial processes' variables. However, industrial processes suffer from different complex characteristics (e.g. time-variance and non-linearity), being very difficult for the SS models to perform well over time. This paper proposes a SS model using an on-line Extreme...
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