A unified recursive just-in-time approach with industrial near infrared spectroscopy application
Time varying and non-linearity issues are commonly seen in soft senso development.
Recently, just-in-time approach has been widely used to address the non-linearity problem
in near infrared (NIR) spectroscopy modeling. However, to the best of the authors'
knowledge, the time varying problems in just-in-time (JIT) framework are rarely discussed
and the adaptation strategy for the local models in JIT approach remains an open issue. In
this paper, a new model updating approach is proposed which can adjust to process …
Recently, just-in-time approach has been widely used to address the non-linearity problem
in near infrared (NIR) spectroscopy modeling. However, to the best of the authors'
knowledge, the time varying problems in just-in-time (JIT) framework are rarely discussed
and the adaptation strategy for the local models in JIT approach remains an open issue. In
this paper, a new model updating approach is proposed which can adjust to process …
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