Hybrid semi-parametric modeling in process systems engineering: Past, present and future
Hybrid semi-parametric models consist of model structures that combine parametric and nonparametric submodels based on different knowledge sources. The development of a hybrid semi-parametric model can offer several advantages over traditional mechanistic or data-driven modeling, as reviewed in this...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
von Stosch, Moritz [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Umfang: |
16 |
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| Übergeordnetes Werk: |
Enthalten in: 1100 Adjuvant treatment of G2/high grade non-muscle invasive bladder cancer: Mytomicin or Bacillus Calmette-Guèrin? - Palou, J. ELSEVIER, 2014, an international journal of computer applications in chemical engineering, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:60 ; year:2014 ; day:10 ; month:01 ; pages:86-101 ; extent:16 |
| Links: |
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| DOI / URN: |
10.1016/j.compchemeng.2013.08.008 |
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Hybrid semi-parametric modeling in process systems engineering: Past, present and future |
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Hybrid semi-parametric models consist of model structures that combine parametric and nonparametric submodels based on different knowledge sources. The development of a hybrid semi-parametric model can offer several advantages over traditional mechanistic or data-driven modeling, as reviewed in this paper. These advantages, such as broader knowledge base, transparency of the modeling approach and cost-effective model development, have been widely recognized, not only in academia but also in the industry. |
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Hybrid semi-parametric models consist of model structures that combine parametric and nonparametric submodels based on different knowledge sources. The development of a hybrid semi-parametric model can offer several advantages over traditional mechanistic or data-driven modeling, as reviewed in this paper. These advantages, such as broader knowledge base, transparency of the modeling approach and cost-effective model development, have been widely recognized, not only in academia but also in the industry. |
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Hybrid semi-parametric models consist of model structures that combine parametric and nonparametric submodels based on different knowledge sources. The development of a hybrid semi-parametric model can offer several advantages over traditional mechanistic or data-driven modeling, as reviewed in this paper. These advantages, such as broader knowledge base, transparency of the modeling approach and cost-effective model development, have been widely recognized, not only in academia but also in the industry. |
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Hybrid semi-parametric modeling in process systems engineering: Past, present and future |
| url |
https://doi.org/10.1016/j.compchemeng.2013.08.008 |
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Oliveira, Rui Peres, Joana Feyo de Azevedo, Sebastião |
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10.1016/j.compchemeng.2013.08.008 |
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2024-07-06T19:05:06.480Z |
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