利用可实现对任意阶多元多项式超曲面的无差逼近的、基于离散泰勒级数的高阶联想记忆系统（DTS-AMS），对（本系列文章之一中所得）自发脑电（EEG）信号错相叠加平均后的残余信号进行建模和外推估计．数字仿真结果表明，此法通过十次左右的视觉刺激，即可将视觉诱发脑电（VEP）信号从EEG信号中分离出来，所得VEP信号潜伏期Pu001b100u001b精度可满足一般临床诊断要求．%Utilizing the higher-oder associative memory system via discrete Talor series(DTS-AMS) which can make an error-free approximation to the multi-variable polynomial function with arbitrary order, this paper realizes the modeling and extrapolation of the Electroencephalogram(EEG) residual signal obtained from the phase-shifting and superposition． Numerical simulation results have shown that,through about only 10 times of visual stimulation, the Visual Evoked Potential(VEP) can be extracted from the EEG background with a satisfactory identification accuracy of the latency parameter P100 for the clinical use．
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