Modeling time-varying processes by unfolding the time domain
نویسندگان
چکیده
Most current technologies in modeling time varying processes aim to adapt a static model over time in what has become to be known as continuous learning. We propose here a different approach to the same problem domain that of including the time explicitly in the modeling. An example implementation of this strategy is given in form of a multilayer perceptron with explicit time input. The performance of this approach is evaluating on a benchmark that was constructed to illustrate typical problems in industrial applications.
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