Abstract
We study the predictability of a theoretical model for earthquakes, using a pattern recognition algorithm similar to the CN and M8 algorithms known in seismology. The model, which is a stochastic spring-block model with both global correlation and local interaction, becomes more predictable as the strength of the global correlation or the local interaction is increased.
Original language | English |
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Pages (from-to) | 4445-4455 |
Number of pages | 11 |
Journal | Journal Of Physics A-mathematical And General |
Volume | 29 |
Publication status | Published - 1996 |