Perfomance Evaluation of Applying Neural Network Adaptive Resonance Model to Seismic Monitoring

Student: Kolenchuk Karina

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Mathematical Methods of Modelling and Computer Technologies (Master)

Final Grade: 10

Year of Graduation: 2018

Theme: Perfomance Evaluation of Applying Neural Network Adaptive Resonance Model to Seismic Monitoring Concepts: ART2, seismic signals classification This work includes research of applicability of the multidimensional model of adaptive resonance theory ART2 to the problem of classifying seismic signals. The algorithm is implemented, experiments are performed, the effectiveness of the proposed method is compared with existing methods.

Full text (added May 19, 2018)

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