Прогнозування емісії SO2 вулкана Кілауеа з використанням інтелектуального методу аналізу даних
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...
Збережено в:
| Дата: | 2019 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Теми: | |
| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/181465 |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | 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 analysis of their emissions. However, a comprehensive analysis of data arrays with the help of intelligent methods of data analysis has not been carried out before. Using fuzzy data processing methods, a neural network, volcanic and atmospheric indicators, we forecast emissions SO2 for a period of one to three months. |
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