huise meaning in Chinese

赫伊瑟

Firstly , we introduce the basic theory and methods for realization of sofm . subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation , select the eigenvector . combining c - avarage and isodata arithmetic , classify the eigenvector , according to the methods of this dissertation , in lower layer , set nerve cell and unite or delete nerve cells in middle layer , to improve the anti - huise - and robust
论文首先介绍了sofm的基本原理和实现方法，接着在其基础上对具体算法进行改进，用k - l变换对原始数据进行特征提取，选取出特征变量，结合c -均值和isodata算法对特征变量进行预分类，按照本文中介绍的方法在底层预置神经元，在中间层对神经原进行合并和删除，加强了该网络的抗干扰性和稳定性。