In this paper, we study the correlation properties with the theory of probability and spectrum for non-linear combiners with memory.
本文主要利用概率论和频谱理论的方法对带记忆的非线性组合生成器的相关性进行了研究。
As a new type of algorithm, locality preserving canonical correlation analysis (LPCCA) can solve a large number of non-linear problems.
局部保持的典型相关分析(LPCCA)是一种能够解决大量非线性问题的新型算法。
The factors are elected by F-rate and correlation rate of non-linear correlations.
再以描述非线性相关关系的相关率及其F比筛选因子。
Meanwhile, the traditional correlation coefficient matrix can not describe the non-linear relationship between asset prices from the portfolio assets.
同时，传统的相关系数矩阵不能描述资产组合中几项资产价格之间的非线性关系。
In order to overcome the problem of linear correlation and information loss, and could provide a new ways of non-linear correlation analysis in different traits for operator.
为了克服以往的相关性指标所存在的线性相关性和信息损失的问题，以期为实际应用工作提供一种新的多变量间的非线性相关分析方法。
The Y-X correlation coefficient of a high order non - linear equation through mutation was higher than that of a simple linear equation by about 5 percent.
用权重方程产生的突变的高阶非线性预报方程，其y与X的相关系数比1阶线性方程提高5%左右。
The Y-X correlation coefficient of a high order non - linear equation through mutation was higher than that of a simple linear equation by about 5 percent.
用权重方程产生的突变的高阶非线性预报方程，其y与X的相关系数比1阶线性方程提高5%左右。
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