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Selection of hadronic W-decays in DELPHI with feed forward neural networks - An update
Since 1998 feed forward neural networks have been successfully applied to select candidates of hadronic W-decays measured at different center of mass-energies by the DELPHI collaboration at the Large Electron Positron collider at CERN. To prepare the final publication, the neural network was adapted...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
2003
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/S0168-9002(03)00476-5 http://cds.cern.ch/record/624972 |