We describe a procedure to assess the predictive accuracy of process models subject to approximation error and uncertainty. The proposed approach is a functional analysis-based probabilistic approach for which we represent random quantities using polynomial chaos expansions (PCEs). The approach perm
Constructing probabilistic models
✍ Scribed by Radim Jiroušek; Nicholas Kushmerick
- Book ID
- 114398009
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 784 KB
- Volume
- 45
- Category
- Article
- ISSN
- 1386-5056
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