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Automation and Remote Control

, Volume 65, Issue 7, pp 1059–1065 | Cite as

Sliding-Window Scalar Multiplication of Matrices and Earthquake Prediction

  • M. S. Strigunova
  • A. M. Shurygin
Article
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Abstract

A probabilistic model of the point field which enables prediction of major earthquakes by extrapolating the earthquake distribution known from the region seismic history was proposed earlier by A. M. Shurygin. If the seismic region is linear, then the accuracy of prediction can be improved by dividing the region into transform zones and replacing the distribution densities and their estimates by comparison of matrices. A new method was presented and illustrated by the prediction of earthquakes in the Kamchatka and Kuril Islands.

Keywords

Mechanical Engineer Distribution Density System Theory Probabilistic Model Scalar Multiplication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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REFERENCES

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Copyright information

© MAIK “Nauka/Interperiodica” 2004

Authors and Affiliations

  • M. S. Strigunova
  • A. M. Shurygin

There are no affiliations available

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