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Intelligent high-performance computing for big data processing in fiber optical measuring networksстатья
- Авторы: Zakasovskaya E.V., Tarasov V.S., Denisova N.I.
- Сборник: CEUR Workshop Proceedings
- Серия: ITHPC 2019
- Том: 2426
- Год издания: 2019
- Место издания: CEUR-WS
- Первая страница: 30
- Последняя страница: 36
- Аннотация: The paper deals with the problem of reconstructing the parameters of physical fields using distributed information and measurement systems for cases of incomplete laying of measurement lines. High-performance computing is typically used for solving advanced problems and performing research activities through computer modeling. The rise of Big Data has changed the entire perspective of data and data handling. Ever growing analytical needs for Big Data can be satisfied with extremely high-performance computing models. A new combined algorithm is presented, which is concluded in the "optimization of the geometry" of the measuring network with a view to further applying the complex of neural networks. The possibility of choosing and using the appropriate neural network from a complex of several pre-trained.
- Добавил в систему: Денисова Надежда Игоревна