复数矩是以复数为核的矩函数，它有许多不同的类型。
Complex moments, divided into many types, is moment function which takes complex as its core.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
这些工作为格林函数快速计算方法的实现以及积分方程的矩量法高效求解打下了基础。
The derivations lay a good foundation for the efficient evaluation of Green's functions and the fast solving of scattering problems by the method of moments (MoM).
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