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arXiv · hep-ex/9705020

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

T. Maggipinto·G. Nardulli·S. Dusini·F. Ferrari·I. Lazzizzera·A. Sidoti·A. Sartori·G. P. Tecchiolli
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Abstract

We show that neural network classifiers can be helpful to discriminate Higgs production from background at LHC in the Higgs mass range M= 200 GeV. 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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T. Maggipinto, G. Nardulli, S. Dusini, F. Ferrari, I. Lazzizzera, A. Sidoti, A. Sartori, G. P. Tecchiolli. 1997-06-02. Role of Neural Networks in the Search of the Higgs Boson at LHC. https://doi.org/10.1016/s0370-2693(97)00887-3

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