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 analysisFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
