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Features of geonomic prognostic functions for the maximum possible earthquake (1994)

Schenk, Vladimír ; Schenková, Zdeňka ; Gitis, Valeriy G.

Springer

Natural hazards 10 (1994), S. 97-115

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ISSN: 1573-0840

Keywords: Maximum possible earthquake ; prognostic function ; artificial intelligence techniques

Source: Springer Online Journal Archives 1860-2000

Topics: Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences

Notes: Abstract The recent artificial intelligence techniques are commonly applied to solving problems in which multidimensional statistical analyses of various quantities and their modelling prognostic functions can be used. This paper attempts to summarize the characteristics of the prognostic functions applied in the determination of the maximum possible earthquake. Geonomic quantities are reviewed and categorized with respect to their influence upon the estimation of the maximum possible earthquake.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00643445

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