Modeling time-varying processes by unfolding the time domain

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 includes the time explicitly in the modeling. An example implementation of th...

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Bibliographic Details
Main Authors: Kindermann, L., Trappenberg, T.P.
Format: Conference Proceeding
Language:English
Subjects:
Brain modeling
Control systems
Instruments
Knowledge based systems
Process control
Production
Stability
Steel
Surface reconstruction
Time varying systems
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Summary: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 includes the time explicitly in the modeling. An example implementation of this strategy is given in a 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.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1999.833485