R Sulej et al 2007 Meas. Sci. Technol. 18 2486 doi:10.1088/0957-0233/18/8/025
R Sulej1, K Zaremba1, K Kurek2 and E Rondio2
Show affiliationsIn this paper, we present the application of a neural network for events classification in a high-energy physics experiment. As a network model we use a multi-layer perceptron with a dynamic topology adjustment algorithm. Our solution covers both adding new hidden neuron units and removing unnecessary units. Neural network results are compared to the standard kinematical cuts techniq1guuuuue and to the well-known k-nearest neighbour classifier.
07.05.Mh Neural networks, fuzzy logic, artificial intelligence
Accelerators, beams and electromagnetism
Issue 8 (August 2007)
Received 31 October 2006, in final form 10 January 2007
Published 6 July 2007
R Sulej et al 2007 Meas. Sci. Technol. 18 2486
A Whitwell 1930 Trans. Opt. Soc. 32 101
Jennifer R Stickel and Simon R Cherry 2005 Phys. Med. Biol. 50 179
David Petrosyan and P Lambropoulos 2001 J. Phys. B: At. Mol. Opt. Phys. 34 1711
Masashige Onoda and Junichi Hasegawa 2003 J. Phys.: Condens. Matter 15 L95
R Shingal et al 1986 J. Phys. B: At. Mol. Phys. 19 309
V Garnier et al 2000 Supercond. Sci. Technol. 13 602
A R Volkel et al 1992 J. Phys.: Condens. Matter 4 9411
A Gómez and J D Meiss 2004 Nonlinearity 17 975
Yongfeng Yang et al 2006 Phys. Med. Biol. 51 2131