Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6745238 | Fusion Engineering and Design | 2016 | 5 Pages |
Abstract
The results harbor no doubts about the reliability of the global optimization method, allowing to outperform the ones of previous versions: 91.77% of predictions (89.24% with an anticipation higher than 10Â ms) with a 3.55% of false alarms. Beyond its effectiveness, it also provides the potential opportunity to develop a spectrum of future predictors using different training datasets.
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Authors
G.A. Rattá, J. Vega, A. Murari, S. Dormido-Canto, R. Moreno, JET Contributors JET Contributors,