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Modeling time-varying processes by unfolding the time domain

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Citation:
Kindermann, L. and Trappenberg, T. (1999): Modeling time-varying processes by unfolding the time domain , Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), Washington DC. .
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Abstract:

Most current technologies in modeling time varyingprocesses aim to adapt a static model over time in whathas become to be known as continuous learning. Wepropose here a different approach to the same problemdomain that of including the time explicitly in themodeling. An example implementation of this strategy isgiven in form of a multilayer perceptron with explicit timeinput. The performance of this approach is evaluating on abenchmark that was constructed to illustrate typicalproblems in industrial applications.

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10382
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