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Measurement Techniques

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22-08-2017

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

Authors: A. M. Pashayev, R. A. Sadykhov, S. B. Habibullayev

Published in: Measurement Techniques | Issue 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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Title: Modeling, Reproduction, and Mapping of Geofields with and Without Measurement Noise. Part 4. Spline, Geostatistical, and Fuzzy Regression Analysis Techniques
Authors: A. M. Pashayev
R. A. Sadykhov
S. B. Habibullayev
Publication date: 22-08-2017
Publisher: Springer US
Published in: Measurement Techniques / Issue 5/2017
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI: https://doi.org/10.1007/s11018-017-1214-3

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