dynamic non-linear network 动态非线性网络
non-linear network 非线性网络
non-linear editing network 非编网络 ; 非线性编辑网络
non-linear editing network system network-nle 非线性编辑网络系统
network of non-linear edition 非线性编辑网络
non-linear resistive network 非线性电阻性网络
According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
应用推荐