期刊
ACTA PHYSICA POLONICA B
卷 48, 期 6, 页码 947-954出版社
JAGIELLONIAN UNIV PRESS
DOI: 10.5506/APhysPolB.48.947
关键词
-
资金
- HICCUP ERC Consolidator grant [614577]
We present a preliminary strategy for modeling multidimensional distributions through neural networks. We study the efficiency of the proposed strategy by considering as input data the two-dimensional next-to-next leading order (NNLO) jet kappa-factors distribution for the ATLAS 7 TeV 2011 data. We then validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models.
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