Method and algorithm for analysis of cosmic ray signals in the problems of anomaly detection

The Researcher of the Laboratory of System Analysis of IKIR FEB RAS, Mandrikova Bogdana Sergeevna, made a presentation on the subject of her dissertation for the Candidate degree «Artificial Intelligence and Machine Learning» at the Scientific Seminar.

The investigation direction is the development of theoretical and software tools for analysis of natural data and detection of anomalies. The investigation object is the neutron monitor data.

The paper suggests a model, method and algorithms for analysis of neutron monitor data and detection of anomalies characterizing Forbush effect occurrences in cosmic ray variations.