船舶通信多维相关数据的动态降维和船舶通信多维相关性的计算思想给其求解带来了很大的困难。根据船舶正则化的特点，分析影响船舶通信数据动态降维精确解的因素。为了减少船舶通信多维相关数据的动态降维问题，在降维的基础上，对样本的信道响应函数进行多维回归扩展，以提高动态降维的应用。根据实际应用需求，本文提出一种结合数据表示和感知算法的正则化方法，更具实用性。
The dynamic dimensionality reduction of ship communication multidimensional correlation data and the calculation idea of ship communication multidimensional correlation have brought great difficulties to its solution. According to the characteristics of ship regularization, the factors affecting the accurate solution of dynamic dimensionality reduction of ship communication data are analyzed. In order to reduce the problem of dynamic dimensionality reduction of multi-dimensional related data of ship communication, on the basis of dimensionality reduction, a multidimensional regression extension is carried out on the channel response number of the samples to improve the application of dynamic dimensionality reduction. According to practical application requirements, this paper proposes a regularization method that combines data representation and perception algorithm, which is more practical.
2022,44(19): 150-153 收稿日期：2022-04-17
DOI：10.3404/j.issn.1672-7649.2022.19.030
分类号：U667.65
基金项目：国家重点研发计划项目课题（2018YFC1503204）
作者简介：邓峰(1977-)，女，博士，副教授，研究方向为数据挖掘
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