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.
|Number of pages||11|
|Journal||Journal Of Physics A-mathematical And General|
|Publication status||Published - 1996|