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把Ｄｉｒａｃ符号表示引入四态离散复数神经网络模型中，从理论和数值模拟上初步考察了模型的稳定性，存贮容量和容错能力，四态离散复数神经网络模型可应用于四态灰度或彩色图象的识别中，该模型也可应用于具有矢量点特征的图象识别中。
The Dirac notation is introduced into the four-state discrete complex neural network model. The stability, storage capacity and fault tolerance of the model are first investigated theoretically and numerically. The four-state discrete complex neural network model can be applied to the four-state gray or In color image recognition, the model can also be applied to image recognition with vector point features.