Прогнозування емісії SO2 вулкана Кілауеа з використанням інтелектуального методу аналізу даних

• Date: 2019
• Main Author: Zabielin, Stanislav
• Format: Article
• Language: English
• Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2019
• Subjects: нейронні мережі; вулканологія; нечітка логіка; LSTM
• Online Access: https://journal.iasa.kpi.ua/article/view/181465
• Journal Title: System research and information technologies

Kilauea is one of the most active and well-known volcanoes in the world and most of our knowledge of volcanism originates from its research. During a long study of volcanoes, many different methods of forecasting their activity were proposed, from the seismological analysis to the statistical analys...