Abstract
The article is developing an approach to creation of the automatic system for prediction of earthquakes. The technology of automatic prediction of earthquakes and its implementation in the form of a web-based GIS platform are considered. The platform represents any data on the stationary and dynamic properties of the seismic process in the form of spatial and spatio-temporal grid fields of features. This provides the possibility of joined processing of all available information. The forecast field is a function of the feature fields. A new machine learning method is proposed. The results on earthquake prediction method testing in the regions of the Mediterranean and Japan are presented.
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CITATION STYLE
Gitis, V. G., & Derendyaev, A. B. (2018). Web-based GIS platform for automatic prediction of earthquakes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10962 LNCS, pp. 268–283). Springer Verlag. https://doi.org/10.1007/978-3-319-95168-3_18
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