离散复数神经网络模型

Discrete Complex Neural Network Model

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。

A discrete complex-number neural network model wlth four states(±1±1)is considered.Signal-to-noisetheory and computer numerical solutions are made to analyse the stability,the storage capacity and the error-tolerance capacity of the model.This 4-state neural netwolk model can be applied to recognize the four-levelgray or color patterns.