title: Investigation of tempo-spatial variability of the Black Sea hydrodynamics by means of neural networks
abstract: The tempo-spatial variability of the Black Sea surface circulation was investigated using satellite data from the Archiving, Validation, and Interpretation of Satellite Oceanographic data (AVISO) project. Self-Organizing Maps (SOMs) were utilized, a neural network-based method known for its unsupervised learning capabilities, to analyze and categorize the circulation patterns, for the very first time. To assess the clustering precision achieved by the SOM algorithms the Davies-Bouldin Index (DBI
journal: The International Hydrographic Review