Method of “optimum observables” and implementation of neural networks in physics investigations-Reference-Cited by-同舟云学术

Method of “optimum observables” and implementation of neural networks in physics investigations

Published:2008-02 Issue:2 Volume:71 Page:388-393
ISSN:1063-7788
Container-title:Physics of Atomic Nuclei
language:en
Short-container-title:Phys. Atom. Nuclei

Author:

Boos E. E.,Bunichev V. E.,Dudko L. V.,Markina A. A.

Publisher

Pleiades Publishing Ltd

Subject

Nuclear and High Energy Physics,Atomic and Molecular Physics, and Optics

Link

http://link.springer.com/content/pdf/10.1134/S1063778808020191.pdf

Reference16 articles.

1. E. Boos, L. Dudko, and T. Ohl, Eur. Phys. J. C 11, 473 (1999); hep-ph/9903215.

2. E. Boos and L. Dudko, Nucl. Instrum. Methods A 502, 486 (2003); hep-ph/0302088.

3. L. Dudko (for D0 Collab.), in Proceedings of the VI International Workshop on Artificial Intelligence in High Energy and Nuclear Physics, Crete, 1999, p. 34.

4. L. Dudko (for the DO Collab.), in Proceedings of the VII International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Fermilab, IL, October 2000, p. 52.

5. G. Mahlon and S. J. Parke, Phys. Rev. D 55, 7249 (1997); hep-ph/9611367; Phys. Lett. B 476, 323 (2000); hep-ph/9912458.

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