There is growing interest in new artificial intelligence techniques to manage the massive volume of data collected by particle physics experiments, particularly at the LHC collider. This thesis proposes to study these new techniques for simulating the rare-event background from the two-muon decay of the Higgs boson, as well as to implement a new artificial intelligence method for simulating the response of the muon spectrometer detector resolution, which is crucial for this analysis.