I follow perfectly what it says. What it does not say is how they are predicting anything. All your post says is that they have picked locations to gather data sets of a certain size..
I am assuming that they actually say something at the link??
I have now looked around the link. I think everyone here knows what pattern recognition is:
General theory of deterministic chaos. Nonlinear dynamics of the lithosphere and earthquake prediction. Modeling of dynamics of block and fault systems. Algorithms for intermediate-term earthquake prediction and their successful applications worldwide. Hierarchical models of crack formation and application of renormalisation group methods and theory of critical phenomena to the study of seismicity and earthquake prediction. Identification of earthquake-prone areas by pattern recognition approach. This approach was applied to numerous mountain countries, and was recently expanded to active platforms (Siberian, Central Russian, and Indian ones). Probabilistic estimation of seismic risk in terms of the damage to economy and population for the biggest cities of the world, earthquake insurance of rural dwellings in Georgia (FSU), Baikal-Amur railroad, Italy etc. Geophysical fluid dynamics: quantitative modeling of basin evolution. An alternative mechanism of sedimentary basin subsidence has been suggested and applied to North American and some Russian basins. Forward and inverse problems of seismology. Problems of uniqueness and stability were introduced along with the methods of reducing non-uniqueness by joint analysis of diverse data. New approaches to forward problems of surface wave propagation in laterally inhomogeneous media were found. New algorithms for inversion of surface wave data have been designed and applied to studies of lithospheric structure of different regions in Eurasia and of space-time seismic source features of recent strong earthquakes. Signal-to-noise enhancement for a single stations and arrays and sophisticated data processing. New algorithms were developed for signal detection based on autoregressive models of seismic wave fields. They were successfully applied to detection of weak earthquakes and nuclear explosions. Detection threshold is improved by factor 10 comparing to traditional methods used in the West. New algorithms of frequency-time analysis were developed and applied to high resolution studies of dispersion and polarisation of surface waves. Broadband seismological registration.
edit on 3/23/2012 by Dustytoad because: (no reason given)
Thanks for the Link!
Got some reading to do. Of course this research can't be used by me because they have all the data. It does suggest
Earthquakes are not random, and how could they be?? Think about it, there is one earth all connected, nothing is random.edit on 3/23/2012 by
Dustytoad because: (no reason given)
