When studying the distribution of earthquake epicenters in the Northern Tien Shan region, a tendency for weak seismic events to cluster in relatively small areas was discovered. To understand the conditions of earthquake occurrence and their clustering, it is necessary to analyze various geophysical features in relation to seismic event data. Using the Kohonen neural network, which allows the multidimensional classification of data, clusters were identified according to various sets of geophysical environment characteristics directly in the space of geographic coordinates. A comparison of cluster maps obtained by one or several geophysical parameters simultaneously with data on seismic events in the region under study was carried out. Such an integrated analysis allowed us to discover that there is a spatial correlation between clusters formed by a set of such parameters as electrical resistivity, temperature, vertical gradient of the ratio of longitudinal and transverse velocities of seismic waves, and the distribution of seismic events in the area under study.
D. A. Orekhova (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: