Modeling, Reproduction, and Mapping of Geological Fields with and Without Measurement Noise. Part 2. Variational Modeling, Interpolation, and Smart Computation Methods

A. M. Pashayev; R. A. Sadykhov; S. B. Habibullayev

doi:10.1007/s11018-017-1105-7

Modeling, Reproduction, and Mapping of Geological Fields with and Without Measurement Noise. Part 2. Variational Modeling, Interpolation, and Smart Computation Methods

Authors: Pashayev A.M.¹, Sadykhov R.A.¹, Habibullayev S.B.¹
Affiliations:
1. National Academy of Aviation of Azerbaijan
Issue: Vol 59, No 11 (2017)
Pages: 1133-1145
Section: General Problems of Metrology and Measurement Technique
URL: https://journals.rcsi.science/0543-1972/article/view/245960
DOI: https://doi.org/10.1007/s11018-017-1105-7
ID: 245960

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Abstract
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Abstract

Various methods for interpolation, smoothing, and neural network learning are examined. It is found that none of these methods is universal and absolutely reliable. Hybridization of these methods is recommended. Results are shown from a fuzzy neural network simulation with random location of the learning points and an unknown form of the sample distribution.