In:
Review of Scientific Instruments, AIP Publishing, Vol. 79, No. 10 ( 2008-10-01)
Abstract:
Disruptions are major instabilities and remain one of the main problems in tokomaks. Using Joint European Torus database, a disruption predictor is developed by computational methods including supervised learning techniques. The main objectives of the work are to develop accurate automatic classifiers, to test their performances, and to determine how much in advance of the disruption they can operate with acceptable reliability.
Type of Medium:
Online Resource
ISSN:
0034-6748
,
1089-7623
Language:
English
Publisher:
AIP Publishing
Publication Date:
2008
detail.hit.zdb_id:
209865-9
detail.hit.zdb_id:
1472905-2
SSG:
11