Neural net forecasting for fast disruptions in the text tokamak (1993)
- Authors:
- Autor USP: ALVARO VANNUCCI - IF
- Unidade: IF
- Assunto: FÍSICA DE PLASMAS
- Language: Inglês
- Imprenta:
- Publisher: Americal Physical Society
- Publisher place: New York
- Date published: 1993
- Source:
- Título do periódico: Abstracts
- Conference titles: Annual Meeting of the Aps Division of Plasma Physics
-
ABNT
HERNANDEZ, J V et al. Neural net forecasting for fast disruptions in the text tokamak. 1993, Anais.. New York: Americal Physical Society, 1993. . Acesso em: 19 abr. 2024. -
APA
Hernandez, J. V., Vannucci, A., Tajima, J., Horton, W., & Mccool, S. C. (1993). Neural net forecasting for fast disruptions in the text tokamak. In Abstracts. New York: Americal Physical Society. -
NLM
Hernandez JV, Vannucci A, Tajima J, Horton W, Mccool SC. Neural net forecasting for fast disruptions in the text tokamak. Abstracts. 1993 ;[citado 2024 abr. 19 ] -
Vancouver
Hernandez JV, Vannucci A, Tajima J, Horton W, Mccool SC. Neural net forecasting for fast disruptions in the text tokamak. Abstracts. 1993 ;[citado 2024 abr. 19 ] - Influencia de campos helicoidais ressonantes sobre as oscilacoes de mirnov no tbr-1
- Atuação de campos magnéticos ressonantes no plasma do Tokamak TCABR
- Major disruptions in text-u tokamak
- Estudo das instabilidades de disruptura externa no tokamak tbr-1
- Disruptive instabilities in the text-u tokamak
- Forecast of TEXT plasma disruptions using soft X rays as input signal in a neural network
- Toroidal geometry and plasma columm displacement corrections in the analysis of Mirnov oscillations
- Overview of results from the yet tokamak using a beryllium first walk
- Detection of locked modes in text-u tokamak
- Using artificial neural networks to forecast chaotic time series
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