We show that neural network classifier can be helpful to discriminate Higgs production form background at LHC in the Higgs mass range MH~200GeV. We employ a common feed-forward neural network trained by the backpropagation algorithm for off-line analysis and the neural chip TOTEM, trained by the Reactive Tabu Search algorithm, which could be used for on-line analysis

Role of Neural Networks in the Search of the Higgs Boson at LHC

1997-01-01

Abstract

We show that neural network classifier can be helpful to discriminate Higgs production form background at LHC in the Higgs mass range MH~200GeV. We employ a common feed-forward neural network trained by the backpropagation algorithm for off-line analysis and the neural chip TOTEM, trained by the Reactive Tabu Search algorithm, which could be used for on-line analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/1394
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