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Meng et al., 2017 - Google Patents

An efficient stochastic approach for flow in porous media via sparse polynomial chaos expansion constructed by feature selection

Meng et al., 2017

Document ID
8763817895366260037
Author
Meng J
Li H
Publication year
Publication venue
Advances in Water Resources

External Links

Snippet

An efficient method for uncertainty quantification for flow in porous media is studied in this paper, where response surface of sparse polynomial chaos expansion (PCE) is constructed with the aid of feature selection method. The number of basis functions in PCE grows …
Continue reading at www.sciencedirect.com (other versions)

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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