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Erschienen in: Measurement Techniques 5/2017

22.08.2017

Modeling, Reproduction, and Mapping of Geofields with and Without Measurement Noise. Part 4. Spline, Geostatistical, and Fuzzy Regression Analysis Techniques

verfasst von: A. M. Pashayev, R. A. Sadykhov, S. B. Habibullayev

Erschienen in: Measurement Techniques | Ausgabe 5/2017

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Abstract

Hybrid three-stage algorithms for identification of geofields that can yield high-quality indicators are examined. Integrable estimation techniques from the hybrid noise-resistant algorithm database are used for effective solution of geofield recovery problems with substantial measurement noise which are difficult to formulate and have multiple extremes. Fuzzy regression models are shown to lead to a multi-extremum non-convex optimization problem. An example is given of a single-extremum problem for finding a fuzzy linear regression model.

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Metadaten
Titel
Modeling, Reproduction, and Mapping of Geofields with and Without Measurement Noise. Part 4. Spline, Geostatistical, and Fuzzy Regression Analysis Techniques
verfasst von
A. M. Pashayev
R. A. Sadykhov
S. B. Habibullayev
Publikationsdatum
22.08.2017
Verlag
Springer US
Erschienen in
Measurement Techniques / Ausgabe 5/2017
Print ISSN: 0543-1972
Elektronische ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-017-1214-3

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