Sliding-window scalar multiplication of matrices and earthquake prediction

被引：2

作者：

Strigunova, MS ^{[1
]}

Shurygin, AM

机构：

[1] MIR Publishers, Moscow, Russia

[2] Russian Acad Sci, Council Cybernet, Moscow, Russia

来源：

AUTOMATION AND REMOTE CONTROL | 2004年 / 65卷 / 07期

基金：

俄罗斯基础研究基金会;

关键词：

Mechanical Engineer; Distribution Density; System Theory; Probabilistic Model; Scalar Multiplication;

D O I：

10.1023/B:AURC.0000038713.71517.b9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1059 / 1065

页数：7