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• W7597497 abstract "In this paper, we discuss the use of bi-linear methods for assessing temporal dynamics, in particular with regard to the understanding of complex biological processes. We show how the dynamics in multivariate time series measurements can be summarized efficiently by principal component analysis. Then we demonstrate how the development and use of complex, high-dimensional nonlinear differential equation models can be facilitated by multivariate metamodeling using nonlinear pls-based subspace data modeling. Different types of metamodels are outlined and illustrated. Finally, we discuss some cognitive topics characterizing different modeling cultures. In particular, we tabulate various metaphors deemed relevant for how the time domain is envisioned." @default.
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• W7597497 date "2013-01-01" @default.
• W7597497 modified "2023-10-07" @default.
• W7597497 title "PLS-Based Multivariate Metamodeling of Dynamic Systems" @default.
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• W7597497 doi "https://doi.org/10.1007/978-1-4614-8283-3_1" @default.
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