中文摘要：

为了解决Е、Ω等多奇异数重予豁别效率低的问题，拟用人工神经网络来进行鉴别．这类多奇异数重子的特点是，判定它们所需参量数目很大（〉10）．用一个简单的蒙特卡洛模型研究了应用神经网络米识别多参量模式时需要解决的几个问题，所得到的结果支持用人工神经网络鉴别多参髓模式的可行性．往此魑础卜，提出了一种混合运用拓扑重构和人工神经网络的混杂（hybrid）方法，作为提高多奇异数重子鉴别效率的一种可能的方法．

英文摘要：

In order to solve the problem of low efficiency in the topological reconstruction of the multi-strange baryons such as Е .Ω, etc. , it is planed to use the artificial neural network to identify these baryons. The characteristic of these baryons is the large number of parameters （〉10） needed to identify them. Several problems that have to be solved before applying the neural network to identify the multy-parameter modes have been studied using a simple Monte Carlo model. The results support the possibility of the application of BP neural network to the identification of the multi-parameter modes. Basing on this study a hybrid method which combine the topological reconstruction and the artificial neural network together is proposed as a possible method for identifying the multi-strange baryons with higher efficiency.