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基于ＰＹＴＨＩＡ５．６蒙特卡罗模拟，作为一种唯象的研究，对于ＬＨＣＰＰ对撞中来自Ｈ→ｒ＋ｒ－，Ｄｒｅｌｌ－Ｙａｎ，以及ｔｔ和Ｗ＋Ｗ－过程的ｅμ事例，用一具有多个输出网点的前馈式神经元网络进行鉴别，对各物理过程均获得了满意的选择效率和本底压低水平．该研究适用于未来中能质量区Ｈｉｇｇｓ粒子和ｔｏｐ夸克的寻找，以及Ｗ＋Ｗ－物理的实验研究．
Based on the PYTHIA 5.6 Monte Carlo simulation, as a phenomenal study, for the eμ case from H → r + r-, Drell-Yan, and tt and W + W- processes in LHCPP collisions, Feedforward neuron networks are identified, and satisfactory selection efficiencies and low background pressures are obtained for all physical processes. This study is applicable to the search of Higgs particles and top quarks in the future, as well as W + W-physics experiments.