TITLE

Neural network tool for rapid recovery of plasma topology

AUTHOR(S)
Tribaldos, V.; van Milligen, B. Ph.
PUB. DATE
January 1997
SOURCE
Review of Scientific Instruments;Jan1997, Vol. 68 Issue 1, p931
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Presents a general method for the rapid recovery of plasma topology based on a neural network fit of the normalized magnetic flux. Multilayer perception; Example of the method for a D-shaped tokamak; Stellarator.
ACCESSION #
630886

 

Related Articles

  • The WEGA Stellarator: Results and Prospects. Otte, M.; Andruczyk, D.; Holzhauer, E.; Howard, J.; K├Ânig, R.; Krupnik, L.; Laqua, H. P.; Lischtschenko, O.; Marsen, S.; Schacht, J.; Urban, J.; Podoba, Y. Y.; Preinhalter, J.; Wagner, F.; Warr, G. B.; Zhezhera, A. // AIP Conference Proceedings;3/19/2008, Vol. 993 Issue 1, p3 

    In this article an overview is given on results from magnetic flux surface measurements, applied ECR heating scenarios for 2.45 GHz and 28 GHz, fluctuation and transport studies and plasma edge biasing experiments performed in the WEGA stellarator. Examples for the development of new diagnostics...

  • Magnetic diagnostics for the first plasma operation in Korea Superconducting Tokamak Advanced Research. Lee, S. G.; Bak, J. G.; Ka, E. M.; Kim, J. H.; Hahn, S. H. // Review of Scientific Instruments;Oct2008, Vol. 79 Issue 10, p10F117 

    Magnetic diagnostics for the first plasma operation in the Korea Superconducting Tokamak Advanced Research device are described. The main discussion is the feasibility studies from the magnetic flux and field measurements utilizing the superconducting poloidal field coils before the first plasma...

  • Real-time estimation of the poloidal wavenumber of ISTTOK tokamak magnetic fluctuations. Coelho, R.; Alves, D. // Review of Scientific Instruments;Oct2008, Vol. 79 Issue 10, p10F121 

    The successful control of a fusion plasma discharge relies on the continuous improvement of existing diagnostics and on the development of new ones based on innovative concepts. It is equally important to provide efficient numerical tools capable of extracting, in real time, the most important...

  • Time-resolved measurements of the density fluctuations in ion phase space. Diallo, Ahmed; Skiff, Frederick // Physics of Plasmas;May2006, Vol. 13 Issue 5, p055706 

    A two-point correlation function measurement of the ion density fluctuations is presented. Using two laser-induced fluorescence (LIF) detection systems, the density fluctuation is resolved in time, ion parallel velocity, and space (along the magnetic field). The measurements reveal two...

  • Tomography using neural networks. Demeter, G. // Review of Scientific Instruments;Mar97, Vol. 68 Issue 3, p1438 

    Discusses the utilization of neural networks for fast evaluation of tomographic data on the MT-1M tokamak. Provision of parameters of a nonlinear fit to experimental data; Time required for training the networks that makes the method worth applying only if a substantial amount of data are to be...

  • Neural networks: A new technology. Etheridge, Harlan L.; Brooks, Richard C. // CPA Journal;Mar1994, Vol. 64 Issue 3, p36 

    Discusses neural networks (NN). Comparison with expert systems; Applications of NNs in accounting, auditing and consulting; How NNs work; Basic components of a NN; Types of NNs; Comparison with conventional computing; NN products and vendors.

  • Diagnostics of magnetic flux tube oscillations on the Sun based on fine-structure characteristics of the radio spectrum. Zlotnik, E.; Zaitsev, V.; Aurass, H. // Astronomy Letters;Jul2011, Vol. 37 Issue 7, p508 

    The possibility of obtaining information about oscillation processes in magnetic flux tubes on the Sun by analyzing the undulating frequency drift of the zebra pattern in the dynamic spectrum of solar radio emission is discussed. It is shown that the oscillatory variation in the frequency of...

  • Brain-in-a-box might work for coatings industry. Ashby, R. Barry // Paint & Coatings Industry;Mar1995, Vol. 11 Issue 3, p22 

    Describes the hybrid neural network (HNN) technology. Uses in paint and coating manufacture; HNN as a quality control tool; Applications in medicine.

  • Neural Network Astronomy as a New Tool for Observing Bright and Compact Objects. Shatskiy, A. A.; Evgeniev, I. Yu. // Journal of Experimental & Theoretical Physics;Apr2019, Vol. 128 Issue 4, p592 

    We propose a new method for solving an important problem of astronomy that arises in observations with ultrahigh-angular-resolution interferometers. This method is based on the application of the theory of artificial neural networks. We propose and compute a multiparameter model for a celestial...

Share

Read the Article

Courtesy of

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics